Assistant Prof. @ JHU 🇦🇷🇺🇸 Mathematics of Data & Biomedical Data Science
https://sites.google.com/view/jsulam
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/
Assistant Professor @ChicagoBooth | Papers: “Neural Collapse in Deep Nets” & “Survey Descent: Nonsmooth GD” | BSE @Princeton, MS @Stanford, PhD @Cornell | xyhan.me
Research scientist at Anthropic.
PhD in machine learning from the University of Toronto and Vector Institute.
Prev: NVIDIA, Google
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis
#machinelearning #deeplearning #probability #statistics #optimization #sampling
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
Prof at EPFL
AI • Climbing
Researcher in computational mathematics
Theory of deep learning, optimal transport, optimization
EPFL
Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
