The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
Thinking about how/why AI works/doesn't, and how to make it go well for us.
Currently: AI Agent Security @ US AI Safety Institute
benjaminedelman.com
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Machine learning researcher. Professor in ML department at CMU.
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
Prof at EPFL
AI • Climbing
Director of the Center for the Advancement of Progress
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token 🧮🧸
Google | PhD, CMU |
https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963
vaishnavh.github.io
Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp.
dccsillag.xyz
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
https://www.vita-group.space/ 👨🏫 UT Austin ML Professor (on leave)
https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab)
Superpower is trying everything 🪅
Newest focus: training next-generation super intelligence - Preview above 👶
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis
#machinelearning #deeplearning #probability #statistics #optimization #sampling
Researcher | PhD in ML/CV from Imperial
benedikt.phd
Optimization Generative Modeling @Caltech, PhD @UCLA. ex Research Scientist Intern @AIatMeta (opinions are my own) why is jax so difficult
stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM
https://sota.engin.umich.edu/
Researcher in computational mathematics
Theory of deep learning, optimal transport, optimization
EPFL
Researcher in machine learning
Research Scientist @ Google DeepMind. AI + physics. Prev Ph.D. @ UC Berkeley.
https://sites.google.com/view/yasamanbahri/home/
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Director, Princeton Language and Intelligence. Professor of CS.
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Associate Professor at Princeton
Machine Learning Researcher
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Postdoc at CBS, Harvard University
(New around here)
| Cellular/Molecular-turned-Computational Neuroscientist |
| What do neurons even do?? | Neural Computation with Dendrites |
| Biophysical Optimization | AI <-> Neuro |
| Postdoctoral Research Fellow at the Harvard Kempner Institute |
| www.ilenna.com
Interpretable Deep Networks. http://baulab.info/ @davidbau
Asst Prof at Johns Hopkins Cognitive Science • Director of the Group for Language and Intelligence (GLINT) ✨• Interested in all things language, cognition, and AI
jennhu.github.io
Professor, Department of Psychology and Center for Brain Science, Harvard University
https://gershmanlab.com/
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
🥇 LLMs together (co-created model merging, BabyLM, textArena.ai)
🥈 Spreading science over hype in #ML & #NLP
Proud shareLM💬 Donor
@IBMResearch & @MIT_CSAIL
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
NYU professor, Google research scientist. Good at LaTeX.
AI safety at Anthropic, on leave from a faculty job at NYU.
Views not employers'.
I think you should join Giving What We Can.
cims.nyu.edu/~sbowman
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
AI @ OpenAI, Tesla, Stanford
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality.
https://fleuret.org
(jolly good) Fellow at the Kempner Institute @kempnerinstitute.bsky.social, incoming assistant professor at UBC Linguistics (and by courtesy CS, Sept 2025). PhD @stanfordnlp.bsky.social with the lovely @jurafsky.bsky.social
isabelpapad.com
Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
Research scientist at Meta on the llama team
Thinking about language models
Past: PhD at NYU, fellow at Harvard’s Kempner Institute
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app
