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Ian Dunn
Dunni3
PhD Candidate in Computational Biology. Geometric deep learning for structure-based drug design. Deep generative models.
PIttsburgh, PA
Institute for Machine Learning, Johannes Kepler University Linz
ml-jku
Software of the Institute for Machine Learning, JKU Linz
Linz, Austria
François Rozet
francois-rozet
PhD student in deep learning applied to large-scale dynamical systems under the supervision of Prof. @glouppe.
University of Liège Liège, Belgium
Kevin Frans
kvfrans
PhD @ UC Berkeley. Previously at MIT, CrossLabs, Sizigi, Autodesk, OpenAI.
United States
Tianhong Li
LTH14
I'm a postdoc at MIT. My recent research interests are generative models and representation learning.
Michael McCabe
mikemccabe210
I am a research scientist at Polymathic AI in the Flatiron Institute working on machine learning for physical systems.
Flatiron Institute
Muhammad Firmansyah Kasim
mfkasim1
University of Oxford https://www2.physics.ox.ac.uk/contacts/people/kasim
Syver Døving Agdestein
agdestein
PhD candidate in scientific computing
Centrum Wiskunde & Informatica Amsterdam
Phillip Lippe
phlippe
PhD student at University of Amsterdam, QUVA Lab | ML Google Developer Expert for JAX/Flax
University of Amsterdam Amsterdam
Rory Conlin
f0uriest
Plasma physics, fusion, numerical methods, optimization, machine learning, dynamical systems, etc etc etc
Computational and Applied Mathematics Laboratory @ ETH Zurich
camlab-ethz
We are part of the Seminar for Applied Mathematics at the Department of Mathematics.
Switzerland
Philip Mocz
pmocz
Research Software Engineer - Computational Physics & AI
Flatiron Institute New York, NY
Samuel Degnan-Morgenstern
stmorgenstern
Chemical Engineering PhD Student at MIT in the Bazant Group
Former member of the Process Systems and Operations Research Lab at the University of Connecticut
Cambridge, MA
ASK-Berkeley
ASK-Berkeley
Research group at UC Berkeley, working on machine learning methods for the physical sciences.
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