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@cw-tan
Chuin Wei Tan cw-tan
AI for Materials @ Harvard

@mir-group of Harvard University Cambridge, MA

@niupre
Nitish Upreti niupre
Data and Cloud @microsoft.

Microsoft California / Uttarakhand

@kyonofx
Xiang kyonofx

San Francisco, CA

@martinvoegele
Martin Vögele martinvoegele
Computational physicist, mostly working with molecular simulation and machine learning.

Schrödinger, Inc. New York, NY

@batu-el
Batu El batu-el
PhD Candidate @ Stanford

Stanford University Palo Alto, CA

@sohamsankaran
Soham Sankaran sohamsankaran
Not dead yet.

1701 Robotics Mumbai

@genbio-ai
GenBio AI genbio-ai
Building the World's First AI-Driven Digital Organism (AIDO)
@AI4Bharat
AI4Bhārat AI4Bharat
Artificial-Intelligence-For-Bhārat : Building open-source AI solutions for India!

India

@HWaymentSteele
Hannah Wayment-Steele HWaymentSteele
Asst prof Biochemistry, UW-Madison, keen on dynamics
@smsharma
Siddharth Mishra-Sharma smsharma
Researcher at Anthropic

Anthropic San Francisco

@FAIR-Chem
FAIR Chemistry FAIR-Chem
AI for chemistry and material science @ Meta. Previously known as Open Catalyst Project.
@mirunacrt
Miruna Cretu mirunacrt
PhD student at University of Cambridge doing ML for Chemistry

University of Cambridge London

@seyonechithrananda
Seyone Chithrananda seyonechithrananda

Berkeley | Cambridge | Toronto

@lbcb-sci
Šikić lab lbcb-sci
A computational group with a focus on the development of new algorithms and AI models for the analysis of DNA and RNA sequencing data and biomolecular strucures

Singapore

@jasonkyuyim
jasonkyuyim

MIT Cambridge, MA

@RivasLab
Elena Rivas RivasLab
Computational biologist: RNA, evolutionary models
@brianhie
Brian Hie brianhie
AI for biology @evo-design

Stanford University San Francisco

@linusyh
Linus Leong linusyh
Computer science student with interest in Machine Learning and Parallel Computing

University of Cambridge Cambridge

@OUnke
Oliver Unke OUnke

Google DeepMind Berlin, Germany

@modernatx
Moderna modernatx

United States of America

@zhonge
Ellen Zhong zhonge
Assistant Professor of Computer Science, Princeton University, Lab github: https://github.com/ml-struct-bio

Princeton University

@andrewgiessel
andrew giessel andrewgiessel
technologist and biologist

building building Somerville, MA

@ardagoreci
Arda ardagoreci
CTO @Ligo-Biosciences | Prev. Cell and Systems Biology at Oxford
@jamaliki
Kiarash Jamali jamaliki
Incoming group leader at Generative Biology Institute, Oxford, UK

MRC Laboratory of Molecular Biology Cambridge, UK

@kierandidi
Kieran Didi kierandidi
Interested in Protein Design, ML and bioinformatics

Cambridge, UK

@gasingh
gasingh
Geometry Specialist interested in 3d geometry, design automation, surfaces, AI/ML.

London

@ncfrey
Nathan Frey ncfrey
CTO & Co-Founder, Coefficient Bio. Ex-@prescient-design@Genentech. Postdoc MIT, PhD at UPenn, and scientist at Berkeley Lab

Coefficient Bio New York, NY

@oxpig
Oxford Protein Informatics Group oxpig
Oxford Protein Informatics Group

Oxford, United Kingdom

@martin-steinegger
Martin Steinegger martin-steinegger
Scientist and Engineer. Associate Professor at Seoul National University.

Seoul National University Korea

@mmagnus
Marcin Magnus mmagnus
Computational structural RNA biologist at Harvard, USA

Harvard, USA Cambridge, MA

@DasLab
Das Lab DasLab

Stanford University

@steineggerlab
Steinegger Lab steineggerlab
Steinegger Lab Github repositories

Korea, South

@amorehead
Alex Morehead amorehead
Hopper Postdoctoral Fellow @BerkeleyLab. Prev: CS PhD @BioinfoMachineLearning Lab @ UMissouri; Research intern @Profluent-AI & @AbSciBio. Deep Learning & AI4Sci

Lawrence Berkeley National Laboratory Berkeley, California

@rhiju
Rhiju Das rhiju
Long-standing RNA enthusiast

Stanford University School of Medicine

@VictorZXY
Victor Zhao VictorZXY
Second-year PhD student in Electrical and Electronic Engineering

Imperial College London London, United Kingdom

@gncs
Gregor Simm gncs
Interested in Reinforcement Learning, Graph Neural Networks, and Quantum Chemistry.

Cambridge, UK

@tuanle618
Tuan Le tuanle618
Research on representation learning for molecular structures. Broad interest in statistics, probabilistic modelling and optimal transport theory.

Berlin

@muhrin
Martin Uhrin muhrin
Hi! I'm a computational physicist based in France. Currently I'm working on creating generative models for inverse design of materials and molecule

Grenoble, France

@ilyes319
Ilyes Batatia ilyes319

University of Cambridge