AGI safety researcher at Google DeepMind, leading causalincentives.com
Personal website: tomeveritt.se
MSc. @mila-quebec.bsky.social and @mcgill.ca in the LiNC lab
Fixating on multi-agent RL, Neuro-AI and decisions
Ēka ē-akimiht
https://danemalenfant.com/
👨🍳 Web Agents @mila-quebec.bsky.social
🎒 @mcgill-nlp.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
DeepMind, MuJoCo. Love thy neighbor.
AI research engineer, glider pilot. Apple Lisa power user. @stepleton@oldbytes.space on Mastodon. Most of my posts will be about old computers; occasionally I'll mention flying.
Doing spooky things with linear algebra.
Research Scientist at Google DeepMind, working on algorithm discovery using AI: AlphaTensor, FunSearch, and beyond
https://a.skh.am
@harryaskham on x
Eternal learner, incorrigible thinker. Roaming AI researcher, maker, idea generator. Sometimes I even complete things. Eventually. Best known for infectious enthusiasm and irrepressible outbursts. My laughter is with me, not at you. Cis settler ally.
Runner, biker, hiker. Software engineer @DeepMind, and open source enthusiast. Sometimes crafts things out of wood. he/his.
Staff Research Engineer @ Google DeepMind
PhD Candidate @ UCL
🇵🇸
data scientist at Google DeepMind
Research Engineer at Google DeepMind
Research Scientist at Google DeepMind.
Staff research scientist at Google DeepMind. AI and neuro.
Former physicist, current human.
Find more at www.janexwang.com
RS at DeepMind.
willwhitney.com
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her)
https://roma-patel.github.io
AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
research engineering @deepmind science | previously #graph #ML for pharma | medicine @ImperialMed engineering @mit_hst
ML & NLP at Google DeepMind
Software engineer at Google DeepMind, amongst other things obviously.
Previously Google, the Guardian.
JAX & Flax @ GoogleDeepmind
Gemini, neural net frameworks & performance
video games, and other random things
she/her, wife of a wife 🌈
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience.
Likes studying learning+memory, hippocampi, and other things brains have and do, too.
she/her.
Developing AI responsibly.
Senior Staff Research Scientist at Google DeepMind. Opinions are my own.
ML, history, coding, space, science and everything in between. Personal profile. Research Eng @ DeepMind (Google). Views my own, etc.
Jack of all trades, master of some
•ⒶⒾ@DeepMind
•Personal account
•Mostly AI/ML/CS/biotech/physics/math/complexity/art/animals
•They/Any
•⚛️🏳️🌈🇬🇧🇨🇦🇺🇸🇪🇺
CS prof at University of Waterloo and Research Scientist at Google DeepMind.
Research Scientist @ Google Deepmind. Opinions are my own.
minsukchang.com
RL researcher at DeepMind
https://schaul.site44.com/ 🇱🇺
Research Scientist at Google DeepMind
Blog: https://sander.ai/
🐦: https://x.com/sedielem
Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
I can be described as a multi-agent artificial general intelligence.
www.jzleibo.com
Research Engineer at Google DeepMind. AlphaFold, LLMs, Physics and Civic Tech. tfgg.me
Research scientist at NVIDIA. Learned physics models, generative video & more.
RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)
Research Scientist @ Google DeepMind. Previously Meta (FAIR), Reddit, PhD UCL, MSc Oxford. samvelyan.com
Research Scientist @DeepMind | Previously @OSFellows & @hrdag. RT != endorsements. Opinions Mine. Pronouns: he/him
distributed (diloco) + modularity (dipaco) + llm @ deepmind | continual learning phd @ sorbonne
Research Scientist @ Google DeepMind. Previously @ OpenAI. Building AGI. 🤖
Research scientist at Google Deepmind, Gemini Pretraining. Birds, poetry, games, robots
📍London 🔗 edouardleurent.com
Assistant Professor at UW and Staff Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
RL & Meta-Learning @ DeepMind.
Research Director @GoogleDeepMind. Co-lead of Veo, working on generative models of video and their fun applications.
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦.
https://psc-g.github.io/
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Staff Research Scientist at Google DeepMind. ML for Biology and Chemistry (Previously NLP). Former adjunct assistant prof at NYU.
All opinions my own.
https://scholar.google.com/citations?user=bRpjhycAAAAJ&hl=en&oi=ao
Senior lecturer in Computational Biophysics @ University of Edinburgh molecular simulations, machine learning and baking enthusiasts. Occasional mathematics outreach
Core Investigator @ Arc Institute | Associate Professor @ UCSF | {Computational, Systems, Cancer, RNA} biologist | Co-founder @exaibio @vevo_ai
Assistant Professor at UC Berkeley and UCSF.
Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
Encode AI for Science Fellow (Pillar VC / Imperial College London) Protein Design, PhD in machine learning for structural biology at UCL
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
PhD candidate at MIT CSAIL. Generative models, protein design.
Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University.
Website: https://people.csail.mit.edu/jyim/
X: https://x.com/json_yim
PhD student @EPFL 🇨🇭
ML & computational biology 🤖🧬⚛️
Professor in bioinformatics, Stockholm University. Protein structure lover ( interactions predictions, evolution ..). Using machine learning as a part of AI for Sciences for halv my life. In addition to succén, I sometimes rants about sailing or skiing.
Computational biophysicist, et al. Opinions expressed are my own.
Systems immunologist at Yale, @yalecsei.bsky.social, @czbiohub.bsky.social
Me: https://medicine.yale.edu/profile/john-tsang/
Lab: https://www.tsanglab.org
Center: https://medicine.yale.edu/systems-engineering-immunology/
Science is the best use of ML
PhD Student @CMUPittCompBio.bsky.social / @SCSatCMU.bsky.social
Interested in ML for science/Compuational drug discovery/AI-assisted scientific discovery 🤞
from 🇱🇰🫶 https://new.ramith.fyi
Senior Chemøinformatician at Merck | Postdoc@Broad Institute of MIT and Harvard, Cambridge(MA) | PhD@University of Cambridge(UK) | AI, Image Analysis, bioML, -omics data, and Cell Painting for drug discovery. srijitseal.com/tools
Data Scientist Generative AI @BayerCropScience. ML for Plant Biology. PhD @IowaStateUniversity https://www.linkedin.com/in/koushik-nagasubramanian/
Theoretical Physics, RNA, Condensates, Evolutionary Biology, Machine Learning, and Ancient History.
Cambridge, UK
Working in functional genomics, machine learning, and single-cell with a focus on multi-perturbation modeling.
PhD Candidate in labs of Hani Goodarzi and Luke Gilbert @ UCSF and Arc Institute
Comp Bio and ML at Tahoe Therapeutics (formerly Vevo)
Removing barriers to computational drug discovery one bit at a time. Associate Professor in Computational and Systems Biology at the University of Pittsburgh.
https://bits.csb.pitt.edu/
Biophysicist｜Damon Runyon QB & NCI Early Stage K99/R00 Fellow at MSKCC w/ @jchodera.bsky.social | @foldingathome.org | PhD with @drgregbowman.bsky.social | Variant Effects, Protein dynamics, Dogs, Games 🇮🇳🇸🇬🇺🇸
My website: https://sukritsingh.github.io
PhD AI for Drug Discovery @QMUL, @EPFL, @MSDintheUK. ex-{@TUDelft, @CureVacRNA}. Researching the intersection of AI and biology to improve human health. 🧬🤖
Computational chemist with a focus on QM, Force Fields, and how ML can aid in both. Also: Cosplayer, LARP writer, birder, occasional science communicator, and several other things. She/they.
Postdoc at @geochurch's lab, @harvardmed | Previously ML scientist @HarmonicDiscov | PhD @ETH | ML for small molecules and macromolecules | Il est où Kadoc?
Senior editor @science.org. Molecular biology, #DNA, #RNA, #gene regulation, #epigenetics, nuclear biology, #chromatin biology, 3D #genome, #synbio, #CRISPR and gene editing, other bacterial immune systems, and #AI in all these
AI Research Scientist @alleninstitute.org | PhD from @ox.ac.uk | prev: intern @msftresearch.bsky.social New England & Novo Nordisk | she/her | kasia.codes
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
🧬 Structural Bioinformatics | 💊 AI/ML for Drug Discovery | Geometric DL
🔬 @iocbprague.bsky.social, prev. PhD @cusbg.bsky.social @mff.unikarlova.cuni.cz
Head of Data Science & Engineering at Talus Bio. I post about data science, BioML, AI drug discovery, Python, mass spec, proteomics, and silly things my kids do.
I also blog sometimes: https://willfondrie.com/post
Machine learning and genetics @Genentech. Previously CS PhD @Stanford.
suragnair.github.io
Machine learning researcher @ D. E. Shaw Research working on ML for quantum chemistry and drug discovery. Big fan of TTRPGs and bouldering.
Generative Antibody Design at Oxford | ovavourakis.github.io | 🇬🇧🇩🇪🇬🇷(🇪🇸) he/him
I develop mechanistic machine learning tools for single-cell and spatial omics data to understand the regulatory patterns underlying human disease dynamics.
ai4biomedicine.org
Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech
Principal Scientist @ Somite AI | Computational biology and biomedical data science | Boston, MA | https://mbernste.github.io
computational physicist, pretending to do bio/neuro stuff.
Staff Scientist at @zuseinstitute.bsky.social
Opinions expressed are solely my own.
https://mohsensadeghi.github.io
https://linkedin.com/in/drmohsensadeghi
Research Scientist in ML+Bio | Stanford Ph.D. | Google X
tOSU 2020 | WashU PhD Candidate with @alexholehouse👨🏼🔬 🖥 | @NSF Graduate Research Fellow | (he/him) | https://jlotthammer.github.io/
Bioinformatics PhD Candidate at University of Illinois Chicago | 3D genome folding | Human genetics
https://hammadfarooq.github.io
CS at MIT | AI x bio research at Broad Institute
Bio/ML. Co-founder at EvoScale, worked on Pytorch and StarCraft back at meta. Most likely not skynet.
Computational Biologist at TU Dresden. Interested in how genomes encode their own stability.
✨Cerebellum✨, Neuroimaging, Brain Stimulation, ML & NLP
Wellcome Early Career Fellow at University of Oxford 🇬🇧
Formerly Postdoc at Western University 🇨🇦 & University of Cambridge 🇬🇧
PhD at University of Oxford 🇬🇧
https://www.caroline-nettekoven.com
