Gautam Kamath
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Starter Packs
Created by Gautam Kamath (4)
@dsivakumar.bsky.social
conversational shopping search at Tonita.co, one-time CS theorist... promise to post no more than one thread a day - on Tonita, CS / AI, politics, education, exercise, food, beer, whatever I feel like - and no more than 3 per week on any one topic :)
@charapod.bsky.social
Assistant Professor of Operations Research and Statistics, MIT. Interested in social computing, human-in-the-loop of AI decision making, recommendation systems, and AI policy.
@apaszke.bsky.social
Author of PyTorch, Research Scientist at Google DeepMind. Currently working on Pallas, Mosaic and dex-lang. MIMUW CS & Math graduate.
@healthyalgo.bsky.social
Exploring the intersection of global health metrics, epidemiology, and data science. Bridging the gap between methods and practice to better measure and improve population health worldwide.
@anima-anandkumar.bsky.social
AI Pioneer, AI+Science, Professor at Caltech, Former Senior Director of AI at NVIDIA, Former Principal Scientist at AWS AI.
@swumboh.bsky.social
Lecturer in Computational Theory, School of Computing and Information Systems, University of Melbourne. Interests: Theoretical computer science and combinatorial optimisation, focussing on approximation and online algorithms. williamumboh.com
@katherinelee.bsky.social
Researcher at GDM and at the GenLaw Center. I just want things to work (: https://katelee168.github.io/
@chrisdonahue.com
Research in generative AI for **human** creativity in music + more. Assistant professor at CMU CSD, leading the 🎼 G-CLef lab. Part time research scientist at Google DeepMind on the Magenta team (views my own) Formerly @chrisdonahuey on Twitter/X
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@compthink.bsky.social
Assoc Prof @UWaterloo See you at #neurips24 Research: #ArtificialIntelligence #MachineLearning #ReinforcementLearning #casual-learning, dimensionality reduction, #ethicalAI #aimorality #aialignment Domains: wildfires, driving, medical, video games
@g-k.ai
Research Scientist @ Google DeepMind in London working on AI privacy, security and safety. Previously @ Imperial College London, TU Munich, Helmholtz Munich. 🇪🇺 🏳️🌈 https://www.g-k.ai
@cathywu.bsky.social
AI+Transportation. Creating computational tools for engineers to reimagine systems for society. Neural combinatorial optimization. Reinforcement learning. Associate Prof. at MIT. Hype adjacent. http://www.wucathy.com/
@sziteng.bsky.social
Responsible and efficient AI. Topics: LLM efficiency; LLM alignment; Differential Privacy; Information Theory. Research Scientist @Google; PhD @Cornell
@animesh-garg.bsky.social
Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics, Georgia Tech prev Berkeley, Stanford, Toronto, Nvidia
@noahsd.bsky.social
Nerd, computer scientist (http://noahsd.com), Cornell CS prof. I spend a lot of time thinking about lattices and sometimes other things.
@danpreston.bsky.social
Assistant professor, director of the PI Lab (https://pi.rice.edu) at Rice University; previously postdoc in Whitesides group at HarvardCCB, PhD at MIT MechE.
@krvarshney.bsky.social
I wrote a book. Free pdf: http://trustworthymachinelearning.com Paperback: http://amazon.com/dp/B09SL5GPCD Posts are my own and don't necessarily represent IBM.
@aviad-rubinstein.bsky.social
Algorithms for Toddlers (https://youtu.be/nnLOi3ia210) | Algorithms for Teenagers (https://tinyurl.com/2cnp39cf) | Algorithms for Grown Ups (http://dblp.org/pid/11/10308)
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://www.mit.edu/~beirami/
@vectorinstitute.ai
The Vector Institute is dedicated to AI, excelling in machine & deep learning research. AI-generated content will be disclosed. FR: @institutvecteur.bsky.social
@jerryzli.bsky.social
Associate Professor at UW. I work on learning theory, (very) broadly defined. MIT Ph.D '18. More importantly, I once hit challenger in TFT 😎
@cnmusco.bsky.social
CS Professor at UMass Amherst. Theoretical computer science, numerical linear algebra, machine learning.
@daneelssoul.bsky.social
@thomasahle.bsky.social
Head of AI @ NormalComputing. Tweets on Math, AI, Chess, Probability, ML, Algorithms and Randomness. Author of tensorcookbook.com
@aloneden.bsky.social
EconCS at the Hebrew University of Jeruz. PhD at TAU, Postdoc at Harvard. https://www.cs.huji.ac.il/~aloneden
@simson.net
Dr. Simson Garfinkel researches and writes at the intersection of AI, privacy, and digital forensics. He is a fellow of the AAAS, the ACM and the IEEE. He earned his PhD in Computer Science at MIT and a Master of Science in Journalism at Columbia.
@tmlrorg.bsky.social
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@shwestrick.bsky.social
assistant professor @NYU Courant CS :: programming languages :: parallel computing :: music :: lead dev of the MaPLe compiler (https://github.com/mpllang/mpl) https://cs.nyu.edu/~shw8119/
@allisonkoe.bsky.social
asst prof @ cornell info sci | fairness in tech, public health & services | alum of MSR, Stanford ICME, NERA Econ, MIT Math | she/her | koenecke.infosci.cornell.edu
@baharanm.bsky.social
Assistant Professor of CS at UCLA Machine learning, Optimization, Data-efficient learning
@aineshbakshi.bsky.social
@sologen.bsky.social
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents. Associate Professor at Polytechnique Montréal and Mila. 🇨🇦 academic.sologen.net