#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X
📍Toronto 🇨🇦 🔗 csprofkgd.github.io
🗓️ Joined Nov 2024
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music.
https://home.cs.colorado.edu/~hbennett/
Searching for the numinous
Australian Canadian, currently living in the US
https://michaelnotebook.com
AI and cognitive science, Founder and CEO (Geometric Intelligence, acquired by Uber). 8 books including Guitar Zero, Rebooting AI and Taming Silicon Valley.
Newsletter (50k subscribers): garymarcus.substack.com
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)
A philosopher of science, among other things.
University of Helsinki
https://www.inkerikoskinen.net
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
ML Research @ Apple.
Understanding deep learning (generalization, calibration, diffusion, etc).
preetum.nakkiran.org
Machine learning researcher. Professor in ML department at CMU.
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Assistant Professor in Computer Science
Research in ML robustness, reliability and reasoning
PhD from ETH Zurich🇨🇭
Executive Editor of DMLR Journal
Organizing Committee NeurIPS and ICLR
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Professor of HCII and LTI at Carnegie Mellon School of Computer Science.
jeffreybigham.com
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
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/
