Scholar
Markus Heinonen
Google Scholar ID: hFtfHZoAAAAJ
Academy research Fellow, Aalto University
Citations & Impact
Citations
2,577
H-index
25
i10-index
39
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous papers covering a range of topics from Bayesian deep learning to bioinformatics. Some works include 'Deep latent variable modelling reveals clinically significant subgroups among transfusion recipients', available on platforms like medRxiv and arXiv.
Research Experience
- Currently an Academy Research Fellow at the Department of Computer Science, Aalto University. Visited Prof. Florence d'Alché-Buc at TeleCom ParisTech in 2013-14. Involved with research groups CSB: Computational systems biology (Prof. Harri Lähdesmäki), PML: Probabilistic Machine Learning (Profs. Samuel Kaski, Aki Vehtari), MLRG: Machine Learning Research Group (Prof. Arno Solin).
Education
- Obtained his PhD from the University of Helsinki between 2008-2013, supervised by Prof. Juho Rousu.
Background
- Research interests include Bayesian deep learning, generative modeling (diffusion, normalizing flows), learning dynamics (ODEs, SDEs, PDEs), uncertainty, calibration, priors, model selection, Gaussian processes, and bioinformatics (metabolites, proteins, genomes, drugs).
Miscellany
- Contact information includes email (markus.heinonen@gmail.com) and social media links such as Google Scholar, arXiv, Github, and LinkedIn.
