Student Guide

Master's Programme in Life Science Technologies

Thesis

This table shows the important dates for thesis approval process. The deadline for submitting documents for the Degree Programme Committee is approximately 3 weeks before the meeting.

When you are planning for submitting your thesis for evaluation, consider these dates according to your graduation and study right. You need to be present as a student when applying for thesis evaluation. This is critical especially at the end of semesters in July and December.

Submit your documents on the deadline date by 23:59 at the latest.

Deadlines for submitting applications in 2025	Degree Programme Committee meetings in 2025
Tuesday 31.12.2024	Monday 27.1.
Monday 24.2.	Monday 17.3.
Monday 28.4.	Monday 19.5.
Monday 26.5.	Monday 16.6.
Thursday 31.7.	Monday 18.8.
Monday 29.9.	Monday 20.10
Monday 24.11.	Monday 15.12.
Wednesday 31.12.	January 2025

Master's Theses of LifeTech Students

Below you can find master's theses written by students of Master's Programme in Life Science Technologies. All master's theses are available in the Aaltodoc publication archive of Aalto University.

Master's thesis

Author	Master's thesis	Supervisor
Rita Ristimäki	Comparative life cycle assessment of pressurized hot water extraction based lignocellulosic biorefinery using multiple scenario analysis	Luana Dessbesell
Anna Savola	Handheld FTIR -based assessment of pharmaceutical surface cleanliness	Sesilja Aranko
Eero Stolt	Modification of lignin with lipids through green technologies	Monika Österberg
Lauri Tossavainen	Microbiota-driven α-synuclein pathology in the gut: A histological and molecular study	Paula Jouhten

Author	Master's thesis	Supervisor
Dipti Boopalan	Drop Coalescence Dynamics and Protein Interactions at the Air-Water Interface	Matilda Backholm
Mikko Salonen	The Impact of Covariance Matrix Estimators on Riemannian EEG BCI	Esa Ollila
Wenzhe He	Computational Modelling of White Matter Activation for Transcranial Magnetic Stimulation	Ilkka Laakso
Wenli Fu	Predictive mental healthcare with machine learning	Heikki Nieminen
Helmi Iivarinen	Cluster Analysis of Carotid Plaque Characteristics — Assessing Risk Factors of Intracranial Vascular Events	Mikko Kivelä
Rasmus Pitkäkangas	Assessing Cardiovascular Health Through Machine Learning: A Feasibility Study	Talayeh Aledavood
Siru Räty	Joint Modelling for Cardiovascular Disease Risk Estimation	Nuutti Hyvönen
Alina Schepers	Optimising Textile Motion Sensing — Characterisation and Integration of Knitted Strain Sensors for Joint Monitoring Applications	Yu Xiao
Minna Ikonen	Identification of functional enhancer-promoter interactions in the canine brain	Harri Lähdesmäki
Elina Heikkilä	Development and Experimental Validation of Computational Tools for DNA Nanostructure Design	Anton Kuzyk
Michaela Huhtala	Investigation of the associations between physical activity, sleep, and stress through passive sensing	Talayeh Aledavood
Salma Rachidi	Explainable machine learning in cancer survival prediction — A case study of myeloma patients	Alex Jung
Netta Ollikka	Investigating the role of recurrence in the human visual system with a novel psychophysics paradigm	Stephane Deny
Kim Valén	Development and analysis of a continuous wavelength-dependent calibration model for pulse oximeters	Petter Holme
Klaus Hakulinen	Identification of collective dynamics using SINDy	Riku Linna
Matias Honkasalo	AI-based droplet detection	Maarit Korpi-Lagg
Heidi Riihilahti	Investigating the Impact of CYP2D6 on Health Through Genetic Analysis	Juho Rousu
Catherine Fait	Designing a data pipeline for total column greenhouse gas measurements with portable EM27/SUN spectrometers	Alex Jung
Iiris Atti	The needed stimulation intensity and number of pulses for evoking reliable TMS evoked potentials	Hanna Renvall
Iida Haukilahti	Advanced Tumor Organoid / Stromal Co-Culture Models for the Pancreatic Cancer Microenvironment	Jarno Mäkelä
Susanna Vatto-Purhonen	Development of a theoretical calibration model for novel pulse oximetry sensors	Matias Palva
Ana Gheorghiu	Sustainable Waste Management in Operating Rooms: Medical Device Design and Trends in Healthcare	Matias Palva
Valo Hallman	Multimodal fusion for predicting future breast cancer risk	Jouko Lampinen
Alisa Leskinen	Internet delivered therapy for insomnia: clinicians experiences and views	Matias Palva
Tom Mikkola	Using Machine Learning to Detect Overtraining Syndrome	Simo Särkkä
Elina Satova	Exploring Phage-Host Interactions in the Human Microbiome: Development of a Dataset for Benchmarking Predictive Models.	Harri Lähdesmäki
Mariam Jalomie	Generating Molecules for Personalized Medicine Using Reinforcement Learning	Harri Lähdesmäki
Shiva Ayoubzadeh	Adverse drug reactions prediction using deep learning models	Juho Rousu
Valtteri Karlsson	Leveraging large language models for medical entity detection in free-text clinical criteria	Stephane Deny
Teemu Lukkari	Deep Learning Architecture Comparison for Semantic Segmentation of Forest Roads	Vikas Garg
Henna Nyblom	Design of an Authentication System for Medical Device Accessories with Integrated Usage Optimization	Heikki Nieminen
Tuomas Hämäläinen	Electrochemical detection of tetracycline in milk using nanocellulose/carbon nanostructure composite electrodes	Tomi Laurila
Kaisa Kärkkäinen	Random Forest Classification for Annotation of Malignant Cells in AML Patients	Harri Lähdesmäki
Vanilja Hyppönen	A Comparative Analysis of Migration Tools for Python 3 in Medical Device Software	Stephane Deny
Inkalilja Pirinen	Exploring deep learning -derived histological features for improved risk stratifica-tion of prostate cancer patients	Pekka Marttinen
Oskar Ikäheimo	Unveiling the Circadian Regulation of the Mouse Pupillary Light Reflex	Petri Ala-Laurila
Milla Kosonen	Efficient and statistically valid regression methods for detecting SNP-trait associations	Maarit Korpi-Lagg
Elissa Peltola	Unveiling patient phenotypes in blood transfusion therapy through deep representation learning	Harri Lähdesmäki
Antti Mansikka	Evaluation of the Analog Front-end of an Electroencephalography System	Lauri Parkkonen
Juuso Ikola	ToothSeeker: Bayesian Parameter Optimization for a Computational Model of Tooth Morphogenesis	Riku Linna
Oskari Pyykkönen	Migrating a Continuous Integration Server for Patient Monitor Software Development From CentOS 7 to Ubuntu 22.04 LTS	Matias Palva
Meeri Särkkä	Feasibility of Automated Alarm Relevance Annotation: Integrating Machine Learning and Clinician Insights	Riku Linna
Antti Huttunen	Multimodal Tumour Type and Subtype Classification with Deep Learning	Harri Lähdesmäki
Venla Valkeavirta	Detecting age-related changes in brain activity during picture naming using machine learning	Lauri Parkkonen
Vanilja Hyppönen	A Comparative Analysis of Migration Tools for Python 3 in Medical Device Software	Stephane Deny
Krista Karttunen	Statistical modelling of genetic background of haemoglobin deferral in blood donation	Juho Rousu
Vili Ripatti	Forecasting Prescription Medication Utilization: A Comparative Study of SARIMA, Prophet, XGBoost and LSTM Models	Riku Linna
Annika Sjöholm	Optimizing adaptive eyewear lens transition properties	Linda Henriksson
Iiris Pitko	The Interplay of Somatic Mutation Profiles and Germline Variations in Breast Can-cer	Harri Lähdesmäki
Petra Pienimäki	Vascular Analysis from Retinal Images Using Machine Learning Methods	Riku Linna
Linnéa Hammarberg	Artifical intelligence based prediction of protein complexes formed via transient interactions	Maria Sammalkorpi
Cecilia Hansson	Optimization of cell culture models for calpain-2 studies for prostate cancer	Markus Linder
Hermanni Jäntti	Cleaning Verification in Pharmaceutical production — Direct measurement of Swab samples with FTIR	Mauri Kostiainen
Anna Österberg	Novel use of blood products: Using existing omics data from extracellular vesicles from differently activated platelets to fine-tune modelling of functionality	Mauri Kostiainen
Viivi Mäkelä	From biotemplate to wearable sensor: Creating a piezoresistive sensor textile for healthcare applications	Mauri Kostiainen
Pinja Salminen	Overproduction of L-tyrosine in Yeast	Paula Jouhten
Jessika Katajainen	Nonsteroidal anti-inflammatory drug complexation with cyclodextrin by mechano-chemistry	Sandra Kaabel
Miila Palkama-Kestilä	Suun ulkopuolella CAD/CAM-tekniikalla valmistettujen täytteiden vertailututkimus Helsingin kaupungin suun terveydenhuollossa	Jukka Niskanen
Saara Räsänen	Efficient use of data and digital twins in the digitalization of pharmaceutical manufacturing	Iiro Harjunkoski
Susanna Savander	Analyzing factors affecting drug discovery and repurposing using publicly available data	Paula Jouhten
Janna Tukiainen	Investigating the origin of N5-ethyl-tetrahydromethanopterin in the methanogen Methanothermobacter marburgensis	Silvan Scheller
Katarina Knuuttila	High-throughput FACS-based screening protocol for the optimization of biomolecular click-reactions in vivo	Sesilja Aranko
Micaela Lemström	Optimization of wet strength resin in the tissue paper making process	Thaddeus Maloney
Rosa Phan	Investigating type V secretion in Komagataeibacter spp.	Rahul Mangayil
Aura Relander	Exploring the antifungal activity of sourdough & baker’s yeast in extending bread shelf life	Paula Jouhten
Inga Räty	Fractionation and purification of biocrude oils	Olli Dahl
Nhi Le	Comparison of carbon, energy and CO2 efficiency of plastic recycling routes	Ville Alopaeus

Author	Master's thesis	Supervisor
Oula Siljamo	Productizing prototype software for a multi-locus transcranial magnetic stimulation system for research environment	Ilkka Laakso
Iida Timperi	Photoluminescence imaging of single crystalline silicon wafers throughout wafer manufacturing process	Hele Savin
Niko Ronkainen	Utilization of Nanocellulose/Nanocarbon Hybrid Materials for Electrochemical Measurement of Antibiotics	Tomi Laurila
Liia Louhikoski	Development of tDCS skin contact materials and their measurement setup	Matias Palva
Peppi Pohjalainen	Exploring a Novel Stereotactic Radiotherapy Normal Tissue Objective for Eclipse Treatment Planning System	Stephane Deny
Jussi Kiviluoto	An Ultrasonically Actuated Medical Needle as a Method for Combination Cancer Immunotherapy	Heikki Nieminen
Juho Karhu	Development of ECG Signal Quality Estimator and Arrhythmia Classification Models Using Machine Learning and Deep Learning	Heikki Nieminen
Lukas Björklund	Prediction of Knee Bone Positions from Skin Surface Images Using Neural Networks	Koen Van Leemput
Amanda Aarnio	Developing and validating an auditory study design for large-scale MEG data collection	Lauri Parkkonen
Sanni Tähtinen	Automatic Identification of Trade-offs in Head and Neck Cancer Radiation Therapy Treatment Planning	Stephane Deny
Markus Henttonen	Auditory evoked responses of domestic cats measured using magnetoencephalography	Lauri Parkkonen
Max Müller	Analysis of machine learning models for customer churn prediction	Mikko Kivelä
Emma Ryhänen	Influence of KRAS copy number variation on transcriptomic profiles in high-grade serous ovarian cancer	Harri Lähdesmäki
Niko Somila	Neural political polarization in Finland	Iiro Jääskeläinen
Eero Saarro	Deep learning analysis of MEG functional connectivity for age prediction	Lauri Parkkonen
Emilia Robertson	Prediction of Postoperative Pain with Intraoperative Photoplethysmogram	Matias Palva
Jonna Nielikäinen	Designing a pilot experiment to study dissimilarity of neural activation detected by MEG and fMRI when imaging language processes	Riitta Salmelin
Aleksi Sormunen	Structural determinants of Griffiths phase in human brain dynamics	Matias Palva
Henni Hartikainen	Improving the compliance process for a medical device software using automation	Heikki Nieminen
Katja Peltola	Predictability of mechanical failures in linear accelerator’s multileaf collimator (MLC)	Matias Palva
Iida Kallio	Software-based movement adaptation of an extraoral X-ray device for patient support table alignment	Matti Hämäläinen
Saara Sippola	Adsorption of 17-βbeta-estradiol on Pristine Graphene - A First-principles Structure Search Study	Tomi Laurila
Santtu Lauronen	Efficacy of optically pumped magnetometers in detecting activity from the cerebellar cortex	Matti Hämäläinen
Essi Tallgren	Applying natural language embeddings in phishing email classification tasks	Juho Rousu
Mika Sorvoja	Study on projective feature selection on molecular fingerprint data	Juho Rousu
Anni-Mari Niskanen	Evolution of public transport networks of 14 Finnish cities: efficiency, navigability, and regional differences	Jari Saramäki
Olli Oksanen	Data mining and building algorithms for disease severity prediction in multiple sclerosis	Hanna Renvall
Helka Rytkönen	Planning a Solution for Mammography Data Management: Defining User Needs and Requirements	Matias Palva
Jesper Edström	Characterization of thalamocortical coherence in ANT DBS for epilepsy - Feasibility and findings of simultaneous LFP and MEG recordings	Hanna Renvall
Enni Nurmi	Stress level determination from heart rate variability measurements	Simo Särkkä
Ilona Mattila	Designing and evaluating knitted strain sensors for measuring joint motion	Yu Xiao
Max Höglund	Communicating Awareness in Complex Systems	Iiro Jääskeläinen
Rudolf Mård	Backdoor attacks on large transformer-based regression model	Alex Jung
Veera Laine	Adapting a Multi-Stage and Multi-Label Vertebra Segmentation Pipeline for Segmenting Teeth from CBCT images	Koen Van Leemput
Tuomas Lampinen	Sources of Variance in the Liquid Transfer System of Indiko™ Clinical Chemistry Analyzer	Heikki Nieminen
Jonne Annevirta	Integrating Pupillometry with MEG to Enhance Cognitive Effort Analysis	Hanna Renvall
Emma Ilonen	Device for controlled heating of mouse fundus	Ari Koskelainen
Emmi Viitala	Substrate effect on carbon nanotube electrochemistry	Tomi Laurila
Sanni Hietanen	The variations in time or season of prevalent conditions of Klinik symptom checker and contributing factors	Riku Linna
Kelly Piho	Biomarker Discovery from Multi-View Health Data Using Variations of Canonical Correlation Analysis	Juho Rousu
Senni Selkama	Investigating forefoot gait tendencies in Cerebral Palsy through neuromusculoskeletal modelling	Ivan Vujaklija
Sohvi Kärhä	Quantification of newborn seizure cyclicity from amplitude-integrated EEG with the phase-locking value	Lauri Parkkonen
Anni Heinolainen	Predicting survival outcomes of HNC patients with quality register data and deep survival model	Harri Lähdesmäki
Ngoc Nguyen	Predicting the Concentration Values of Individual Chemical Components in Ternary Chemical Mixtures	Juho Rousu
Elsa Ollikainen	Discovering the Connection Between REM Sleep and Emotions Using Machine Learning Classification	Iiro Jääskeläinen
Zahra Ghadiri	The Impact of Network Structure on Successive Waves of Spreading	Jari Saramäki
Elli Järvinen	Practical implementation of simultaneous, synchronous MEG and thalamic LFP recordings using a novel deep brain stimulation device	Hanna Renvall
Maria Huovila	Content Recommendation with Knowledge Graphs in Information Management Systems	Petter Holme
Eevi Rimmi	Effects of standard space transformation on structure and properties of functional brain networks constructed from fMRI data	Iiro Jääskeläinen
Michaela Weiss	Cluster analysis of cancer patients’ initial session patterns in a patient portal application	Talayeh Aledavood
Juho Tuomaala	Reservoir Computing in Predicting Networks of Coupled Dynamical Systems	Riku Linna
Oskar Reivinen	Role of Representation Formations in Self-Supervised Learning	Stéphane Deny
Juhani Kolehmainen	Behavioral phenotyping of depression using video game-based cognitive performance data	Matias Palva
Kaisu Hiltunen	Using scalable targeted DNA methylation profiling to validate epigenetic clock for mice	Harri Lähdesmäki
Santeri Simanainen	Development and validation of source-estimation methods for stereoelectroencephalography	Lauri Parkkonen
Emil Hiitola	Clonal hematopoiesis and inflammation in Finnish population-level cohorts	Harri Lähdesmäki
Hannah Terborg	Graph-theoretical exploration of MEG hyperscanning data in the mirror game	Lauri Parkkonen
Lauri Pohjola	Predictive modelling of depression treatment outcomes using video game-based cognitive performance data	Matias Palva
Otto Lönnroth	Generative Models for Analysing Longitudinal Data	Harri Lähdesmäki
Anni Ranta-Lassila	Plasmonic sensing of stress biomarkers	Anton Kuzyk
Timo Järvinen	Predicting Tumor Genome Evolution in Colorectal Cancer with Neural Networks	Harri Lähdesmäki
Joona Repo	Dependence of Neuronal Entrainment on Individual Brain Dynamics – A Joint Experimental and Computational Modelling Study	Matias Palva
Markus Kyllönen	Unsupervised representation learning visualization for brain activity dynamics in REM-sleep	Stephane Deny
Alina Suleimanova	Phenotype and outcome prediction of depression patients using digital twins	Matias Palva
Anni Hukari	Mutual information and Pearson correlation on M/EEG time series	Riitta Salmelin
Pirta Salojärvi	Automated Solutions in Chemical Quality Control	Anton Kuzyk
Aron Schulman	Attention-based method to predict drug-target interactions across seven protein classes	Juho Rousu
Anna-Helena Puisto	Cortical activation in patients with alcohol use disorder during cue-reactivity task and C-tactile skin stimulation: An ERP study	Hanna Renvall
Linda Hemmann	Treatment effect prediction with continuous interventional flows	Vikas Garg
Rasmus Siljander	Extreme gradient boosting methods for covariate forecasting of housing market demand in Finnish postal code areas	Alexander Jung
Topi Hämäläinen	Exploration of interpretability methods for Transformer-based language models in the medical context	Pekka Marttinen
Viivi Kivinen	Deep Learning Transformers in Diabetic Retinopathy Detection	Pekka Marttinen
Huy Nguyen	Application of Gaussian processes in circadian rhythm detection	Aki Vehtari
Ellimari Paunio	Learning interpretable predictive biomarkers from multi-omics data	Juho Rousu
Taneli Tikkakoski	Facilitating Management and Usage of Health-Related Data through Smart Contracts and Blockchains	Casper Lassenius
Dann Mensah	A Hybrid Generator Architecture for Controllable Face Synthesis	Jaakko Lehtinen
Henrik Granö	Facial Performance Capture through Differentiable Rendering with Facial Rig Prior	Jaakko Lehtinen
Alena Alferova	A binary and multicomponent quasi-chemical model for chemical equilibrium calculations in HSC Chemistry software platform	Harri Lähdesmäki
Artur Gynter	Cell Type Deconvolution from Bulk RNA-seq Data with Probabilistic Machine Learning	Harri Lähdesmäki
Anneka Kruuti	Planning a Change to an EU Medical Device Regulation Certified Transcranial Magnetic Stimulation Device	Heikki Nieminen
Artur Aspelin	Implementation of Out-Of-The-Box Laboratory Information Management Systems: A Case Study	Casper Lassenius
Akseli Oinaanoja	Processing noise and artifacts in capnography	Anton Kuzyk
Tien Le	Alternative polyadenylation events estimation from single-cell RNA sequencing data in Schizophrenia	Aki Vehtari
Jaakko Salmenkylä	Localising the social brain with fMRI in relation to different types of love	Linda Henriksson
Salla Saarinen	Modelling the effects of transcranial magnetic stimulation on a network of cortical neurons with realistic morphology and synaptic connections	Risto Ilmoniemi
Joni Tarkiainen	Continuous blood pressure measurement during physical stress with multi-wavelength photoplethysmography	Jari Saramäki
van der Berg Linda	Design of non-ribosomal peptide production in microbial cells	Jouhten Paula
Sammalisto Fred-Eric	Developing an intracellular screening method for recombinant spider silk proteins	Linder Markus
Lindfors Anni	Chiral Colorimetric Sensing of Cardiovascular Biomarker with Smart Plasmonic DNA Nanoswitches	Kuzyk Anton
Linder Sonja	Handheld FTIR for quantification of degree of degradation of drugs during pharmaceutical cleaning verification	Frey Alexander
Hendren Melissa	Optimization of S. cerevisiae for quinolone production	Frey Alexander
Gustafsson Eero	A carbon-based electrochemical aptasensor for detection of vancomycin	Laurila Tomi
Chatzikosmidou Despoina	Biopolymeric phase-change thermoregulating nanofiber fabrics with antibacterial coatings	Seppälä Jukka
Aspelin Helena	Intracellular characterization of adhesive protein condensation	Linder Markus
Gröndahl Julius	Novel alpha-1,3-glucan fibrid based additives for paper and board	Paltakari Jouni
Heino Minna	Deep learning for early detection of memory disorders from electronic health records	Lähdesmäki Harri
Kaukolahti Tuomas	Effect of additives and mixing tank geometry on flocculation of long-fiber foam suspensions	Kostiainen Mauri
Lillberg Amanda	Utilization of Future Food Court side streams as alternative carbon and nutrient source for plant cell cultures	Jouhten Paula
Niskanen Linnea	Validation of an assay for protein quantification using tritium detection	Linder Markus
Ojasalo Sofia	High Temperature Corrosion of Steels by Nitridation in Ammonia	Lindberg Daniel
Hannikainen Bibi	Investigating Native and Heterologous Signal Peptides for the Secretion of Recombinant Proteins in Komagataeibacter spp.	Mangayil Rahul
Lewicki Filip	Development of Hybrid Hydrogels from Cellulose Nanofibrils and Aloe Vera Extract	Österberg Monika
Nieminen Katri	An AMA plasmid-based CRISPR-Cas9 genome editing tool for a non-model filamentous fungus	Linder Markus
Wierzchowiecka Julia	Transfection of mRNA utilizing RNA-DNA hybrid origami	Kostiainen Mauri
Bluhm Sarah	In silico analysis of enteroendocrine cell size in Drosophila with altered NAD+/NADH redox balance	Kostiainen Mauri
Hakala Elina	Design and synthesis of a custom ssDNA scaffold for functional DNA origami devices	Kuzyk Anton
Livman Charlotta	Applicability of Using Poly(ethylene sebacate) as a Scaffold Material in Medical Applications	Niskanen Jukka
Osman Ifrah	ICP-MS/MS for comprehensive sample matrix validation of biobased materials and method validation and verification in fuel and fuel feedstock analysis	Kontturi Eero
Salah Aisha	3D Printing of UV Cross-linkable Composites	Niskanen Jukka
Annikki Ollila	Study of Ibuprofen Preparations by In Vitro Dissolution-Permeation Methods and Evaluation of Their Biological Relevance	Kostiainen Mauri

Author (last name first name)	Master's thesis	Supervisor (last name first name)
Antti Huttunen	Multimodal Tumour Type and Subtype Classification with Deep Learning	Harri Lähdesmäki
Venla Valkeavirta	Detecting age-related changes in brain activity during picture naming using machine learning	Lauri Parkkonen
Vanilja Hyppönen	A Comparative Analysis of Migration Tools for Python 3 in Medical Device Software	Stephane Deny
Krista Karttunen	Statistical modelling of genetic background of haemoglobin deferral in blood donation	Juho Rousu
Vili Ripatti	Forecasting Prescription Medication Utilization: A Comparative Study of SARIMA, Prophet, XGBoost and LSTM Models	Riku Linna
Annika Sjöholm	Optimizing adaptive eyewear lens transition properties	Linda Henriksson
Iiris Pitko	The Interplay of Somatic Mutation Profiles and Germline Variations in Breast Can-cer	Harri Lähdesmäki
Petra Pienimäki	Vascular Analysis from Retinal Images Using Machine Learning Methods	Riku Linna
Tarkiainen Joni	Continuous blood pressure measurement during physical stress with multi-wavelength photoplethysmography	Saramäki Jari
Saarinen Salla	Modelling the effects of transcranial magnetic stimulation on a network of cortical neurons with realistic morphology and synaptic connections	Ilmoniemi Risto
Salmenkylä Jaakko	Localising the social brain with fMRI in relation to different types of love	Henriksson Linda
Le Tien	Alternative polyadenylation events estimation from single-cell RNA sequencing data in Schizophrenia	Vehtari Aki
Oinaanoja Akseli	Processing noise and artifacts in capnography	Kuzyk Anton
Aspelin Arthur	Implementation of Out-Of-The-Box Laboratory Information Management Systems: A Case Study	Lassenius Casper
Kruuti Anneka	Planning a Change to an EU Medical Device Regulation Certified Transcranial Magnetic Stimulation Device	Nieminen Heikki
Gynter Artur	Cell Type Deconvolution from Bulk RNA-seq Data with Probabilistic Machine Learning	Lähdesmäki Harri
Alferova Alena	A binary and multicomponent quasi-chemical model for chemical equilibrium calculations in HSC Chemistry software platform	Lähdesmäki Harri
Granö Henrik	Facial Performance Capture through Differentiable Rendering with Facial Rig Prior	Lehtinen Jaakko
Mensah Dan	A Hybrid Generator Architecture for Controllable Face Synthesis	Lehtinen Jaakko
Tikkakoski Taneli	Facilitating Management and Usage of Health-Related Data through Smart Contracts and Blockchains	Lassenius Casper
Koljonen Katarina	Evaluation of a wireless electromagnetic tracking system in a high electromagnetic interference environment	Särkkä Simo
Rehn Emmi	Modeling T-Cell Receptor Repertoires in Children at Risk of Developing Type 1 Diabetes	Lähdesmäki Harri
Ruuskanen Santeri	Resting-state functional connectivity changes over the healthy adult lifespan	Parkkonen Lauri
Granö Ida	Targeting of transcranial magnetic stimulation with multidimensional Bayesian optimization	Hämäläinen Matti
Haahti Sanni	Demonstrating in silico validation analyses of qPCR assays using novel in-house software	Rousu Juho
Holmström Susanna	Functional segmentation of the methylome at whole-genome scale across multiple patient samples	Marttinen Pekka
Laurinoja Joonas	Feasibility of EEG phase-triggered closed-loopTMS–EEG–MRI experiments	Palva Matias
Makkonen Matilda	Real-time electroencephalography-based spike detection for suppression of epileptogenic activity with transcranial magnetic stimulation	Renvall Hanna
Porta Estanislao	Development and comparison of EEG analysis pipelines for diagnosis of mild traumatic brain injuries	Renvall Hanna
Sairanen Veera	Deep learning text-to-speech synthesis with Flowtron and WaveGlow	Palva Matias
Sirkiä Laura	Potilasvirtojen ennustaminen sairaalaverkostossa	Marttinen Pekka
Wallén Roosa	fMRI study on the effect of anxiety on emotional processing and sleep	Jääskeläinen Iiro
Aalto Roosa	Plethysmographic waveform-based dynamic preload indices in predicting fluid responsiveness	Palva Matias
Lassfolk Salomo	Detecting windshield damages using Faster R-CNN and Mask R-CNN	Kivelä Mikko
Poikkimäki Henna	Eduskunnan täysistuntojen puheenvuorojen henkilömainintoihin perustuvien verkostoiden analyysi	Hyvönen Eero
Puukangas Iina-Emilia	Image augmentation methods to improve AI training in digital pathology	Saramäki Jari
Turkulainen Emma	Comparison of Deep Neural Networks in Classification of Spruce Trees Damaged by the Bark Beetle Using UAS RGB, Multi- and Hyperspectral Imagery	Laaksonen Jorma
Westerlund	Evaluating Ultrasound-induced Effects on Cell Morphometry on Ultrasound-Enhanced Fine-Needle Aspiration Biopsy from bovine liver	Nieminen Heikki
Ahola Oskari	Unravelling somatosensory connectivity with peripheral and central stimulation	Parkkonen Lauri
Leinonen Milja	Cost-effectiveness in wound care: health economic evidence generation for decision-making and public procurement	Lillrank Paul
Manninen Anniina	Self-supervised learning for histological image representation	Ilin Alexander
Poutanen Tuomas	Contextual extraction of phenotype expressions from free-form text	Saramäki Jari
Pykälä Lauri	Sentence Embeddings in Topic Modeling: Analysing News Articles through Cybersecurity Concepts	Lampinen Jouko
Tähti Linn	Transfer Learning in Histopathological Image Analysis	Kivelä Mikko
Metsämäki Daniel	Custom design of fine wire EMG recording set-ups	Vujaklija Ivan
Ferrer Pascual Laura	Nanoscale engineering to control mass transfer on carbon based electrodes	Laurila Tomi
Kauppila Pekko	Utilizing computer-aided design for modeling and documenting the cabling of 5-channel mTMS prototype	Ilmoniemi Risto
Korpela Dani	A deep learning method for predicting T cell receptor binding to unseen epitopes	Lähdesmäki Harri
Uimonen Mikael	Multimodal interface for interactive cooperation with quadruped robots	Vujaklija Ivan
Hansson Johanna	Predicting work dysfunction risk from clinical notes using deep learning	Pekka Marttinen
Arantola Joel	Measuring and predicting the quality of life of cancer patients through changes in symptoms reported through electronic patient-reported outcomes	Jari Saramäki
Laitinen Joonas	Improving EMG tolerance of EEG-based depth of anesthesia monitoring	Matias Palva
Ip Chek	Analysis of the effects of cholinergic treatment on event-related brain activity in patients with Alzheimer’s disease	Risto Ilmoniemi
Eevi Hyttinen	Utilization of Industrial Side Streams as Carbon and Nutrient Source for Microbial Ssingle Cell Protein Production	Paula Jouhten
Lauri Peuhkurinen	Fungal Mycelium as a Material Component: Production and Characterization of Genetically Engineered Strains	Markus Linder
Sharon Saarinen	Encapsulation of RNA-DNA Hybrid Origami with Viral Capsid Proteins	Mauri Kostiainen
Ida Uotila	Supported Fischer-Tropsch Catalysts for Carbon Dioxide Based Light Olefin Production	Riikka Puurunen
Gustav Åberg	Development of molecular biology tools and engineering procedures for a non-model filamentous fungus strain	Alexander Frey
Julia Manninen	Testing the effects of reaction conditions on biocatalytic acrylamide synthesis	Scheller, Silvan
Erlea Melgosa	Investigation of C(sp2)–C(sp3) Cross-Electrophile Coupling in Continuous Flow under Photoredox Conditions	Franzen, Robert
Anniina Savolainen	Synthesis and characterization of amine-functionalized cellulose nanofibres for developing antimicrobial materials	Kostiainen, Mauri
Senni Lehtonen	Microbial Production of Alternative Food Components	Frey, Alexander
Larissa Risku	Formation of Synthetic Organelles in Saccharomyces Cerevisiae Utilizing Ty1 Capsid Proteins	Frey, Alexander
Kristian Vaitomaa	Harmful Substances and Their Substitution Process Using Life Cycle Assessment	Dahl, Olli
Jenni Vannas	Investigating the Material Properties of SERF: Alpha-Synuclein Liquid Condensates	Linder, Markus

Author	Master's thesis	Supervisor
Aarnio Tiu	On-line monitoring of plant cell cultures using isotopes	Koskelainen Ari
Harnist Bent	Probabilistic Precipitation Nowcasting using Bayesian Convolutional Neural Networks	Solin Arno
König Sebastian	Online Source Analysis for Guiding TMS–EEG Measurements	Ilmoniemi Risto
Mäntylä Väinö	Measuring mechanical properties of extracellular matrix altered by fibroblasts	Kuzyk Anton
Ojala Fanni	Bayesian Survival Analysis to Model Clearance of MRSA Colonization	Marttinen Pekka
Pöllänen Santeri	Dynamical neuromodulation with pulse waveforms in a brain circuit model	Ilmoniemi Risto
Purhonen Mikko	Computer-Aided Analysis of MGG-stained Bone Marrow Aspiration Samples	Kannala Juho
Saarinen Ville	kMMI: Minimization of Intergroup Interference in Networked Experiments	Kivelä Mikko
Tainio Oskar	Hyperspectral imaging based glass surface contamination level analysis with neural networks	Saramäki Jari
Tauriainen Sofia	Unraveling dynamics of brain activation in ADHD children with a novel open-ended virtual reality task	Henriksson Linda
Theodoropoulos Jason	Large-scale Analysis of Immune Receptor Repertoires in RNA Sequencing Data from Autoimmune Disorders	Lähdesmäki Harri
Vapalahti Severi	Deep Learning Methodologies in Drug Kinase prediction	Rousu Juho
Vartiainen Emilia	Charasteristics of the Liver Transcriptome and its Genetic Regulation	Rousu Juho
Ziaei Bideh Amirmohammad	Exploring Behavioral Patterns of Patients with Mental Disorders Using the MoMo-Mood Dataset	Aledavood Talayeh
Streng Tony	Measurements and shimming for a low-field magnetic resonance imaging system	Laakso Ilkka
Seluska Liisa	Detection of lactate from sweat with screen-printed carbon electrodes	Laurila Tomi
Tuomas Kupila	User interface development and test automation in microplate controller software	Lauri Parkkonen
Atte Föhr	Cancer Detector on Histological Slides Using Semi-Supervised Learning	Juho Rousu
Marcus Talke	Using Supervised Deep Learning for Real-Time Motor Unit Decomposition of High-Density Surface Electromyography Signals	Ivan Vujaklija
Juliaana Juurakko	Multi-modal Approach for Classifying ECG-based Ventricular Tachycardia Detections	Heikki Nieminen
Juho Aaltonen	Application of linear machine learning methods for the diagnosis of mild traumatic brain injuries	Hanna Renvall
Salla Autti	Spatiotemporal analysis of simultaneous event-related magnetoencephalography and high-density diffuse optical tomography data	Hanna Renvall
Alisa Halonen	Quality of sleep and emotion regulation	Iiro Jääskeläinen
Annika Hautala	Moderating implicit neural prejudice for vaccine hesitancy	Iiro Jääskeläinen
Verna Heikkinen	Capturing individual variation in children's oscillatory brain activity during nREM sleep	Hanna Renvall
Inka Lehtonen	Rule-based approach for extracting structured data from semi-structured pathology reports	Pekka Marttinen
Iina Mikkola	Cell-free DNA extraction using bead-based microfluidics	Tomi Laurila
Alexandra Prinz	Increment and decrement detection at the sensitivity limit of vision	Petri Ala-Laurila
Timo Tommila	Improving the modularity and operation of multi-locus transcranial magnetic stimulation devices	Risto Ilmoniemi
Jere Korteniemi	Improving the Validation Process of Software Tools Used in Medical Device Software	Simo Särkkä
Niki Ulmanen	Predicting categories for IT tickets: Integrating ServiceNow to Aito.ai for automated categorization of incident tickets	Jari Saramäki
Mikael Grön	Measurement and Characterisation of Human Visual Gamma-band Responses with On-scalp Magnetoencephalography	Lauri Parkkonen
Maria Misukka	Standardizing electronic health records in order to advance secondary use of hospital data lakes - A case study on HUS data lake	Paul Lillrank
Katri Valtonen	Towards virtual care operator in Finnish healthcare context – Identifying care disrup-tions and defining use cases in type 2 diabetes care	Paul Lillrank
Niemelä Anni	In vivo gene editing of Syndecan-1 in mice	Alexander Frey
Riina Haajanen	Identification of potential clinical use of MEG in oncology treatment planning and follow-up	Lauri Parkkonen
Emilia Hattula	Transfer Learning Technology for Building Extraction from Orthophotos and Open-Source Data	Alex Jung
Malena Lindberg	Identifying patients suitable for home dialysis from cost perspective	Paul Lillrank
Mikael Laine	Corticocortical modulation of motor responses with multi-locus transcranial magnetic stimulation	Matti Stenroos
Otso Brummer	Application of Computational Histopathology to Quantify Immune Cells in Clear-cell Renal Cell Carcinoma Tissue	Juho Kannala
Emilia Lönnberg	Effects of cognitive training in neuronal synchrony - EEG resting state analysis	Matias Palva
Olivia Hölsä	Machine Learning-Based Classification of Clinical Notes to Extract Smoking Status from Electronic Health Records	Pekka Marttinen
Miisa Martio	Improving verification of a software product for 3D medical image analytics	Lauri Parkkonen
Mika Merano	Implementation of a Notified Body function as a new business arm to a medical device consulting company	Anton Kuzyk
Georges Tayar	Comparison of Landscape Categorization Behaviour of Humans and Artificial Neural Networks	Lauri Parkkonen
Joonas Juvonen	Pre-stimulus neuronal phase correlates of conscious visual perception in threshold stimuli detection tasks	Matias Palva
Arttu Ruohola	Magnetic Resonance Encephalography: Performance and quality assurance of five MRI scanners	Lauri Parkkonen
Anni Forsman	Inter-subject correlation during natural viewing with on-scalp MEG	Lauri Parkkonen
Antti Vallin	Design and development of a medical device for automated ear inflammation recognition	Tomi Laurila
Zaeed Khan	Joint use of thermal camera and optical camera for respiration measurement	Simo Särkkä
Paavo Hietala	Improving MEG source estimation with joint analysis of multiple subjects	Lauri Parkkonen
Joonas Haakana	Cortical fingerprinting with MEG power spectra and functional connectivity	Riitta Salmelin
Vilma Kahri	The visualization of the subthalamic nucleus with quantitative susceptibility mapping	Lauri Parkkonen
Elias Panula	Semi-supervised brain hemorrhage segmentation using deep learning	Alexander Ilin
Arsi Ikäheimonen	TREATISE-B: a toolbox for exploratory analysis of behavioral time series	Jari Saramäki
Tomas Villikka	Social network analysis in matrix organization	Iiro Jääskeläinen
Maryam Kiashemshaki	Uncovering the spatial connection of human mobility based on egocentric networks	Jari Saramäki
Anna Hakala	Classification of patients with depression and healthy controls based on behavioural patterns acquired from smartphone sensor data	Aristides Gionis
Laura Hawk	End-tidal Carbon Dioxide (ETCO2) Monitoring for Infants: An exploratory study of effectiveness and sensitivity	Heikki J. Nieminen
Markus Toivonen	An Automated and Gamified Cyber Security Awareness Training Program: Modeling, Predicting and Improving Learning	Mikko Kivelä
Minna Oksanen	Connecting Secondary Metabolites and Biosynthetic Gene Clusters	Juho Rousu
Samuel Girmay	O-GlcNAcylation of the Transcription Machinery in Prostate Cancer Cells	Alexander Frey
Jasmin Hertzberg	Development of Analysis Method for Quality Control of Bioink Printing	Markus Linder
Camilla Selenius	Exploring the Possibility of Lignin in Wood Polymer Composites	Monika Österberg
Ingrid Schulman	Data-driven study of social signatures in different channels	Jari Saramäki
Minéa Wuori	Simulating the effect of mitigation measures on COVID-19 outbreaks with a real-world contact network	Jari Saramäki
Emil Ala-Pietilä	Coronary heart disease prediction in Finnish cohort utilizing genomic and other health data	Harri Lähdesmäki
Veera Itälinna	Detecting mild traumatic brain injury from MEG data using normative modelling and machine learning	Lauri Parkkonen
Ali Salloum	Quantifying polarization in social networks	Mikko Kivelä
Oskari Lehtonen	Fully Convolutional Neural Networks for Nuclei Segmentation and Type Classification	Harri Lähdesmäki
Alexandra Andersson	Investigating the impact of music and other auditory stimuli in advertising using EEG	Iiro Jääskeläinen
Viljami Raiski	Exploring Latent Structure in Continuous Glucose Monitor Data	Juho Rousu
Ossi Lehtonen	Medical ultrasound imaging using sparse arrays	Visa Koivunen
Kristiina Dahl	Immunodetection methods for aflatoxin	Alexander Frey
Miika Korpioja	Characterization of signaling protein mutants in Trichoderma reesei	Alexander Frey
Anna Pohto	Biophysical characterization of non-hydrolytic fungal proteins	Emma Master
Matias Tiainen	Forecasting Seasonal Demand at the Product Level in Grocery Retail	Mikko Kivelä
Niklas Nevalainen	Expertise Seeking and Automatic Expertise Retrieval in a Software Consultancy	Jari Saramäki
Inka Lehtimäki	Automatic Video-based Classification of Convulsive Epileptic and Functional Seizures	Riku Linna
Antti Alastalo	Finnish end-to-end speech synthesis with Tacotron 2 and WaveNet	Mikko Kurimo
Maikki Messo	Terveydenhuollon etulinjan asiakasohjauksen vaikuttavuuden mallintaminen	Paul Lillrank
Karoliina Hakkarainen	Activity recognition of hospital patients for wearable noninvasive blood pressure monitoring	Lauri Parkkonen
Joel Honkamaa	Aligning images: Deformable registration of CT and Pseudo-CT images using unsupervised Deep Learning based algorithms	Riku Linna
Jani Kaaos	Preparation of sputtered aluminun nitride thin films for direct bonding to fabricate alternative silicon on insulator substrates	Mervi Paulasto-Kröckel
Yrjö Koski	Detecting DNA modifications and adducts from nanopore sequencing data with deep learning methods	Harri Lähdesmäki
Elias Lius	Detuning of quadrature body coil without detune boards in MR-linac system	Lauri Parkkonen
Janita Nissi	Simulation of magneto- and electrophosphenes	Ilkka Laakso
Sara Tuominen	Usage of cloud-based AI services to improve data utilization	Riku Linna
Maija Vahteristo	On effectiveness of cervical cancer screening in Finland	Pauliina Ilmonen
Elina Pitkäranta	Development of Workplace Risk Assessments - Focus on Chemical Risks	Katrina Nordström
Antti Ahola	Data migration from legacy systems to data quality aware cloud-computing systems	Hong-Linh Truong
Lotta-Mari Kirjavainen	Recombinant Production of Neutralizing Antibodies Against SARS-CoV-2 in Yeast	Alexander Frey
Antti Leikas	Plug and Play Parameters for Patient Monitors	Tomi Laurila
Tommi Mäkinen	Adopting Agile Methods:A Case Study of Implementing SAFe	Casper Lassenius
Antti Rantala	Creating a normative database of resting-state brain activity from a large number of MEG recordings	Lauri Parkkonen
Sebastian Remander	Comparison of classification methods in predicting NHL game event outcomes	Jari Saramäki
Nuutti Sten	Accelerating Bayesian Optimization Structure Search with Transfer Learning	Patrick Rinke
Jonna Hurme	Identifying the Intracellular Catabolic Routes of Lignin Monomers in Fungi	Alexander Frey
Kellen Leskinen	Investigating Liquid-liquid Phase Separation Behaviour of Histidine-rich Squid Beak Protein Variants	Markus Linder
Jaakko Hassinen	A Study of Ferredoxin Interactions in Methanosarcina Barkeri Using in Vivo Tagging and Heterologous Expression	Silvan Scheller
Tiira Johansson	A Document Management Process of a Clinical Trial in a Global Pharmaceutical Company	Heli Viskari
Natalia Lindholm	Comparing the Production Potential of IVD Standard Proteins in CHO Cells and E. Coli	Alexander Frey
Timo Purho	Adhesive Properties of the Silk-Mussel Protein	Markus Linder
Anna Salminen	Assessing the Potential of C1 Enzymes in Limosilactobacillus Reuteri Towards Catalyzing C2 Substrates	Silvan Scheller
Sara Jaatinen	The Effect of Composition on Emulsion Stability	Alexander Frey

Companies where Life Science Technologies studens have done their master's theses

List of companies, research institutes and other places where students have done their master's theses you will find here.

Updated: 30.10.2025
Published: 23.5.2022

Student Guide

Master's Programme in Life Science Technologies

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Master's theses 2021-2022

Companies where Life Science Technologies studens have done their master's theses