Scholar
Thomas Hamelryck
Google Scholar ID: YoTlzjkAAAAJ
Professor in Machine Learning, BIO/DIKU, University of Copenhagen
Citations & Impact
Citations
5,182
H-index
18
i10-index
28
Publications
20
Co-authors
24
list available
Contact
Publications
Resume (English only)
Background
- Full professor in machine learning and high dimensional biological data analysis at the University of Copenhagen
- Jointly affiliated with the Department of Biology (Section for Computational and RNA Biology, SCARB) and the Department of Computer Science (Programming Languages and Theory of Computation section, PLTC)
- Specialist in Bayesian modelling and probabilistic machine learning
- Current research focuses on applying probabilistic machine learning to protein structure prediction and protein evolution
- Particularly interested in deep probabilistic programming (using Pyro and Numpyro) and directional statistics for non-Euclidean data representation
