Postdoctoral fellow at Stanford,
interested in deep learning, physics-based data-driven modeling, and uncertainty quantification.
Highlights
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Gilles Louppe
glouppe
{"Researcher", "Teacher", "Coder"} #ai #ai4science #deeplearning #bayesian
ULiège Belgium
Christopher Rackauckas
ChrisRackauckas
Applied Mathematics Instructor at MIT, researching numerical differential equations and their applications to scientific machine learning (SciML)
Massachusetts Institute of Technology Cambridge, MA
Patrick Kidger
patrick-kidger
Building a JAX ecosystem: Equinox, Diffrax, Lineax, etc. ---- SciML, numerics, neural ODEs ---- Solo traveller, martial artist, scuba diver!
Cradle.bio Zürich
Andreas Kirsch
BlackHC
@OATML Oxford, UK
Miles Cranmer
MilesCranmer
Assistant Professor at University of Cambridge.
Works on AI for the physical sciences.
University of Cambridge Cambridge, UK