utkarshp1161
Follow
Tristan Bepler
tbepler
Group leader, Simons Machine Learning Center at NYSBC in NYC. We're hiring postdocs and research scientists to advance machine learning for structural biology.
MIT
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
Tess Smidt
blondegeek
Assistant Professor in EECS at MIT. Atomic Architect. Wrangler of neural nets. Geometry junkie. blondegeek.
@atomicarchitects Cambridge, MA
J. George
JaGeo
❤️ Materials Informatics.
Junior Group Leader @BAMresearch and Professor at University of Jena, Germany.
Before: PostDoc at UCLouvain and PhD at RWTH Aachen
Federal Institute for Materials Research and Testing Berlin, Germany
Miles Cranmer
MilesCranmer
Assistant Professor at University of Cambridge.
Works on AI + astro/physics.
University of Cambridge Cambridge, UK
SciML Open Source Scientific Machine Learning
SciML
Open source software for scientific machine learning
Shangtong Zhang
ShangtongZhang
Assistant Professor at UVA
University of Virginia Charlottesville, VA, United States
Joshua Greaves
joshgreaves
Principal ML Engineer @ Reliant AI |
Ex-Google Brain |
RL 🤖 + LLMs 📣
Reliant AI
Jesse Farebrother
JesseFarebro
Ph.D. student studying AI & decision making @mila-iqia. Research Scientist Intern @facebookresearch; Ex-@google-deepmind, @google brain.
@facebookresearch @mila-iqia Montréal, QC
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
Richard McElreath
rmcelreath
Max Planck Institute for Evolutionary Anthropology Leipzig, Germany
Sterling G. Baird
sgbaird
I direct training programs at the @AccelerationConsortium for materials discovery enabled by Bayesian optimization and self-driving labs. Former @sp8rks group
@AccelerationConsortium (UoT) @sparks-baird (UoU) Toronto, ON
Sergei V. Kalinin
SergeiVKalinin
I like using machine learning to solve problem in physics, from discovering physical laws from microscopy data, making better materials, and atomic manipulation
University of Tennessee, Knoxville
Maxim Ziatdinov
ziatdinovmax
Machine Learning-Powered Experimental Sciences | ❤️ Open Source.
@PNNL Washington, United States
Rob J Hyndman
robjhyndman
I analyse data, develop new statistical methods, and write open source software.
Monash University Wurundjeri country, Australia
