ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org

Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary. ramon.astudillo.com

President of Signal, Chief Advisor to AI Now Institute

Research Scientist @ Mosaic x Databricks. Adaptive Methods for Retrieval, Generation, NLP, AI, LLMs https://mrdrozdov.github.io/

NYU professor, Google research scientist. Good at LaTeX.

LM/NLP/ML researcher ¯\_(ツ)_/¯ yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / associate faculty director @ arXiv.org / researcher @ ASAPP / starting @colmweb.org / building RecNet.io

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.

#Efficient AI Research @MosaicML Formerly Visiting Researcher @ Facebook Ph.D #TXSTFOOTBALL fan http://linktr.ee/code_star

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

Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky

Machine Learning PhD student at Cambridge University, visiting Cornell. Previously at Oxford and Google. Principled ML & applications in medicine.

Assistant Prof @sbucompsc @stonybrooku. Researcher → @SFResearch Ph.D. → @ColumbiaCompSci Human Centered AI / Future of Work / AI & Creativity

Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. http://soumith.ch

❤️s and reposts are randomized and differentially private. https://github.com/jvmncs

Post-training Alignment at IBM Research AI | Prev: Penn CS + Wharton

NLP Research Scientist at IBM Research

PhD candidate at Stony Brook University; Prev: Google Research, AI2 Aristo, Salesforce Research; MS from JHU https://ykl7.github.io

Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com