AI & Transportation | MIT Associate Professor
Interests: AI for good, sociotechnical systems, machine learning, optimization, reinforcement learning, public policy, gov tech, open science.
Science is messy and beautiful.
http://www.wucathy.com
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Assistant Professor @ Stony Brook AMS & CS
https://chenyuyou.me/
Scientist at Champalimaud Foundation (polaviejalab.org) and co-founder of Algebraic AI (algebraic.ai). #Maths4AI #AI4Science, #BehaviorAI #NeuroAI #CognitionAI #CollectiveBehavior
Laplace Junior Chair, Machine Learning
ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..)
Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen
Assistant Prof at Stanford, Director of Stanford Translational AI (STAI) Lab
Computer Vision, Computational Neuroscience
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
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/
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/
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Director, Princeton Language and Intelligence. Professor of CS.
ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Machine learning researcher. Professor in ML department at CMU.
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
Research Scientist @ Google DeepMind. AI + physics. Prev Ph.D. @ UC Berkeley.
https://sites.google.com/view/yasamanbahri/home/
Researcher in computational mathematics
Theory of deep learning, optimal transport, optimization
EPFL
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM
https://sota.engin.umich.edu/
Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
Research Fellow @ Kempner Institute, Harvard University
Theory of Deep Learning / Learning of Deep Theory
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Associate Professor at Princeton
Machine Learning Researcher
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
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
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
ML/RL enthusiast, second-order optimization, plasticity, environmentalist
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., imitation/reinforcement learning).
https://zstevenwu.com/
Director of the Center for the Advancement of Progress
bsky's suggestion in 2024: Artist, dog lover, avid reader!
Geeky side, see here: https://meyn.ece.ufl.edu/
Adore nature in N. Florida, such as the cute bison that serves as my bsky photo
I care about human beings, which means I'm a crazy radical!
CS PhD student @ TTIC.
gene.ttic.edu
Assistant Prof @ UC Riverside. Research on Efficient ML, RL, and LLMs. CS PhD @ UW Madison.
yinglunz.com
kwang-sung jun. assistant professor at the u of arizona. ml, online learning, and bandits! i am a fan of regret minimalism, both in life and research.
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness
Cornell & Netflix
www.nathankallus.com
PhD Student in Tübingen (MPI-IS & Uni Tü), interested in reinforcement learning. Freedom is a pure idea. https://onnoeberhard.com/
postdoc @ ai lab, Vrije Universiteit Brussel
working on providing reliable and verifiable ai mechanisms
#RL & formal methods
delgrange.me
Assistant Professor at Imperial College Business School
Optimization+Machine Learning+Renewable Energy
Runner | Kiwi 🇳🇿 | ryancorywright.github.io
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
Researcher in machine learning
Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Prof at EPFL
AI • Climbing
Research Scientist at ByteDance. Ex @UCLA, @PKU
AI4Science, Diffusion Models, Optimizers, RL, LLM
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Research Scientist at Meta Paris
Code generation, math, optimization
Researcher in optimization and theoretical machine learning. Assistant professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭
Director, Advanced Analytics at Unity Health Toronto. So early to Blue Sky they don't even allow underscores. I like beer, data, and multivariate blah-blahs. 2x Guinness world record holder in nonsense (5 person half and full marathon)
Professor of HCII and LTI at Carnegie Mellon School of Computer Science.
jeffreybigham.com
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
Staff research scientist at Google DeepMind. AI and neuro.
Former physicist, current human.
Find more at www.janexwang.com
AI, RL, NLP, Games Asst Prof at UCSD
Research Scientist at Nvidia
Lab: http://pearls.ucsd.edu
Personal: prithvirajva.com
professor at university of washington and scientist at Google DeepMind. computational cognitive scientist. working on social and artificial intelligence and alignment.
http://faculty.washington.edu/maxkw/
Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
Professor, Department of Psychology and Center for Brain Science, Harvard University
https://gershmanlab.com/
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Researcher in robotics and machine learning (Reinforcement Learning). Maintainer of Stable-Baselines (SB3).
https://araffin.github.io/
Researching Artificial General Intelligence Safety, via thinking about neuroscience and algorithms, at Astera Institute. https://sjbyrnes.com/agi.html
comp neuro, neural manifolds, neuroAI, physics of learning
assistant professor @ harvard (physics, center for brain science, kempner institute) + @ Flatiron Institute
https://www.sychung.org
assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
Researching computer vision stuff at Stack AV in Pittsburgh. Photography @ishankhatri.com
Host TalkRL Podcast, Aspiring RL researcher
AgFunder VC Head of Eng, Ex-MSFT, Waterloo computer engineering
Sunshine Coast BC Canada
Assistant Professor the Polaris Lab @ Princeton (https://www.polarislab.org/); Researching: RL, Strategic Decision-Making+Exploration; AI+Law
Postdoc at @kthuniversity.bsky.social.
Past: @gaipslab.bsky.social; Sony AI.
Interested in all things RL and Multimodal.
miguelvasco.com
Professor at INF - @ufrgs.br | Ph.D. in Computer Science. I am interested in multi-policy reinforcement learning (RL) algorithms.
Personal page: https://lucasalegre.github.io
Research Scientist @ Google Deepmind. Opinions are my own.
minsukchang.com
Abolish the value function!
Assistant Prof of AI & Decision-Making @MIT EECS
I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL.
I work on value (mis)alignment in AI systems.
https://people.csail.mit.edu/dhm/
Staff scientist @WashU👩🏻🔬 Neuro PhD @Princeton, researching cognitive control, decision making & neurodivergent in computational psychiatry, she/her, Latina 🇨🇺. Views my own. Stand Up for Science!
See(k)ing the surreal
Causal World Models for Curious Robots @ University of Tübingen/Max Planck Institute for Intelligent Systems 🇩🇪
#reinforcementlearning #robotics #causality #meditation #vegan
PhD. Student @ELLIS.eu @UniFreiburg with Thomas Brox and Cordelia Schmid
Understanding intelligence and cultivating its societal benefits
https://kifarid.github.io
Principal Scientist @LilaSciences. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
Postdoctoral researcher working on RL in POMDP at McGill and Mila - gsprd.be
Writing about robots https://itcanthink.substack.com/
RoboPapers podcast https://robopapers.substack.com/
All opinions my own
ML PhD Student @ Uni. of Edinburgh, working on Multi-Agent Problems. | Organiser @deeplearningindaba.bsky.social @rl-agents-rg.bsky.social | 🇪🇹🇿🇦
kaleabtessera.com
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.
UBC Computer Science; physics-based models of human movement; deep reinforcement learning; animation; robotics
Rogue game theorist and RL scientist in 🇨🇦. Formerly: co-founder Artificial.Agency, RS DeepMind, PhD UAlberta, Poker AI. Gaming 🎮🎲, curling 🥌, knitting 🧶, geocaching 🗺️. (he/him).
ML research scientist @LawZero
