Student Guide
Master's Programme in Life Science Technologies
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Thesis
Deadlines
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 2023 | Degree Programme Committee meetings 2023 |
---|---|
Fri 30.12.2022 | Mon 16.1.2023 |
Mon 27.2.2023 | Mon 20.3.2023 |
Mon 24.4.2023 | Mon 15.5.2023 |
Mon 29.5.2023 | Mon 12.6.2023 |
Mon 31.7.2023 | Mon 21.8.2023 |
Mon 25.9.2023 | Mon 9.10.2023 |
Mon 20.11.2023 | Mon 11.12.2023 |
Fri 29.12.2023 | Mon 22.1.2024 |
Deadlines for submitting applications 2024 | Degree Programme Committee meetings 2024 |
---|---|
Fri 29.12.2023 | Mon 22.1. |
Mon 19.2.2024 | Mon 11.3. |
Mon 29.4. | Mon 20.5. |
Mon 27.5. | Mon 17.6. |
Wed 31.7. | Mon 19.8. |
Mon 30.9. | Mon 21.10. |
Mon 18.11. | Mon 16.12 |
Application deadlines and meetings of 2025 will be published in October 2024 at the latest.
Master's Theses and Press Releases of LifeTech Students
Below you can find master's theses and press releases written by students of Master's Programme in Life Science Technologies on their master's theses. Master's theses are updated here when they are available in the Aaltodoc publication archive.
Master's thesis
Master's theses approved in the autumn semester 2023 and later you can find in the Aaltodoc repository - 1b Maisterivaiheen opinnäytetyöt / Master’s theses by searching with a title or with an author.
Author | Master's thesis | Supervisor |
---|---|---|
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 |
Press releases
- Published:
- Updated: