Scholar
Noe Frank
Google Scholar ID: QGiLc_cAAAAJ
Microsoft Research
Citations & Impact
Citations
22,432
H-index
70
i10-index
206
Publications
20
Co-authors
20
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- He has received two European Research Council (ERC) grants, is an ISI highly cited fellow, and is a member of the Berlin-Brandenburg Academy of Sciences. He has also developed several deep learning systems for molecular simulation, such as the Boltzmann Generator.
Research Experience
- Since his PhD, he has pursued an interdisciplinary research program at the interface of molecular simulation, statistics, and machine learning. He is a co-pioneer of the Markov state modeling (MSM) approach for describing the long-time dynamics of proteins and other macromolecules.
Education
- He has a BSc degree in Electrical Engineering, a MSc in Computer Science, and a PhD from the University of Heidelberg (Germany) on Computer Science and Biophysics.
Background
- Microsoft Partner Research Manager in the Berlin/Germany team of Microsoft Research (MSR) AI4Science. He also holds a professorship at Freie Universität Berlin and an adjunct professorship at Rice University Houston. His main research interests are in the development of deep learning methods to promote our ability to simulate and understand molecular systems, particularly addressing fundamental challenges such as the electronic structure problem in quantum chemistry and many-body sampling problem in statistical mechanics.
Miscellany
- He is an advocate of open research and software for the benefit of society.
