Samuel Kaski
Department of Computer Science

Samuel Kaski

Professor

Contact information

Postal address
Aalto SCI Computer Science Konemiehentie 2
Mobile phone
+358503058694
Full researcher profile
https://research.aalto.fi/...

Description

I work on probabilistic machine learning, meaning probabilistic modelling and Bayesian inference, applied to difficult problems that are interesting and societally important. At the moment I work on the inter-related topics of analysis of multiple data sources, human-in-the-loop machine learning, simulator-based inference (likelihood-free inference with ABC), and privacy-preserving learning. I have had the chance to collaborate with amazing people in interdisciplinary research projects on applications in biology and medicine, brain signal analysis and user interaction (see list of publications), and in the Aalto Probabilistic Machine Learning Group which I lead with Prof. Aki Vehtari, and the Finnish Center of Excellence in Computational Inference Research which I lead until end of 2017.  

To further boost the already strong artificial intelligence research and its impact, we are setting up a new Finnish Artificial Intelligence Center FCAI, which I will lead 2018-. It is a partnership of Aalto University, University of Helsinki, and a number of company members, networking further to key international and national partners. We aim to solve three bottleneck questions in AI research: data scarcity, dependability of AI, and ability of AI to understand its users (more details here). The research will be done with company partners, including new startups and spin-offs, which will take the results directly to use. We will also pay special attention to AI education.

Areas of expertise

machine learning probabilistic modelling artificial intelligence bioinformatics computational medicine user interaction brain signal analysis

Honors and awards

Award or honor granted for academic career
Department of Computer Science
Jan 2016

Academy Professor

Award or honor granted for academic career
Department of Computer Science
Jan 2017

Member of Finnish Academy of Science and Letters

Award or honor granted for a specific work
Centre of Excellence in Computational Inference, COIN
Jan 2018

Aalto SCI Award 2018 for Innovation of the year

Research groups

Centre of Excellence in Computational Inference, COIN, Professor
Professorship Kaski S., Professor
Helsinki Institute for Information Technology HIIT, Professor
Probabilistic Machine Learning, Professor
Finnish Center for Artificial Intelligence, Professor

Publications

Centre of Excellence in Computational Inference, COIN, Professorship Kaski S., Helsinki Institute for Information Technology HIIT, Probabilistic Machine Learning, School services, SCI, Department of Computer Science, Professorship Vehtari A., Finnish Center for Artificial Intelligence

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach

Publishing year: 2019 Submitted
Centre of Excellence in Computational Inference, COIN, School services, SCI, Department of Computer Science, Professorship Marttinen P., Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Kaski S., Finnish Center for Artificial Intelligence

Modelling G×E with historical weather information improves genomic prediction in new environments

Publishing year: 2019 Bioinformatics (Oxford, England)
School services, SCI, Department of Computer Science, Professorship Kaski S., Probabilistic Machine Learning, Finnish Center for Artificial Intelligence, Helsinki Institute for Information Technology HIIT, Centre of Excellence in Computational Inference, COIN

Learning spectrograms with convolutional spectral kernels

Publishing year: 2019 arXiv.org
Professorship Kaski S., Department of Computer Science, Finnish Center for Artificial Intelligence, Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Centre of Excellence in Computational Inference, COIN

Local dimension reduction of summary statistics for likelihood-free inference

Publishing year: 2019 STATISTICS AND COMPUTING
Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Kaski S., Centre of Excellence in Computational Inference, COIN, Department of Computer Science, School services, SCI, Professorship Myllymäki P. (HIIT Director), Finnish Center for Artificial Intelligence

Machine Teaching of Active Sequential Learners

Publishing year: 2019 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada
Department of Computer Science, Finnish Center for Artificial Intelligence, Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Kaski S., Centre of Excellence in Computational Inference, COIN

Block HSIC Lasso

Publishing year: 2019 Bioinformatics
Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys, Professorship Lähdesmäki H., Department of Computer Science, Finnish Center for Artificial Intelligence, Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Kaski S., Centre of Excellence in Computational Inference, COIN, Professorship Rousu J.

Bayesian metabolic flux analysis reveals intracellular flux couplings

Publishing year: 2019 Bioinformatics
Department of Computer Science, Finnish Center for Artificial Intelligence, Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Kaski S., Centre of Excellence in Computational Inference, COIN

Representation transfer for differentially private drug sensitivity prediction

Publishing year: 2019 Bioinformatics
Centre of Excellence in Computational Inference, COIN, Professorship Kaski S., Helsinki Institute for Information Technology HIIT, Probabilistic Machine Learning, Department of Computer Science, Finnish Center for Artificial Intelligence

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets

Publishing year: 2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019
Department of Computer Science, Finnish Center for Artificial Intelligence, Probabilistic Machine Learning, Helsinki Institute for Information Technology HIIT, Professorship Kaski S., Centre of Excellence in Computational Inference, COIN, Professorship Marttinen P.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Publishing year: 2019 Nature Communications