Steam, The Ultimate Online Game Platform.
For support: http://help.steampowered.com/en/
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
computational cognitive science he/him
UC Berkeley
ScienceHomecoming
http://colala.berkeley.edu/people/piantadosi/
VP, AI Models @IBMResearch, IBM Director, @MITIBMLab. Former prof and serial/parallel entrepreneur.
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
Statistician. PhD @Harvard • Masters degree in pure math • Follow me for fun, nerdy content.
Sign up to my newsletter: kareemcarr.substack.com
economics and computer science professor at Northwestern
bengolub.net
social and economic networks
originally from Ukraine
Senior researcher at Inria, Part-time professor at Ecole Polytechnique, France.
ACM Senior Member.
Working on BigData, AI, Fact-Checking, Disinformation https://pages.saclay.inria.fr/ioana.manolescu/
NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
#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
Michael Brin professor of mathematics at the University of Maryland. Mathematical logic, model theory - and connections to combinatorics, algebra, etc.
chernikov.me
Internet pedestrian. Machine learning mercenary. ᕕ(ツ)ᕗ (he/him/his)
https://laurent-dinh.github.io/
Associate Prof | AI for drug discovery | Eindhoven University of Technology | Previously ETH Zurich & UniMiB | she/her 🏳️🌈
world renowned webcomic maker and sage
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/
Senior AI researcher at BSC. Random thinker at home.
PhD student @ mit & mitsloan. Studying Econ of AI and IO 🇨🇦🌈
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?👌…)
Postdoc in machine learning with Francis Bach &
@GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory.
https://dholzmueller.github.io
Randomly transitioning between information theory, ML, privacy, statistics, and other destinations. Not using \mathbb in a logo.
