Science integrity consultant and crowdfunded volunteer, PhD.
Ex-Stanford University. Maddox Prize/Einstein F Award winner
NL/USA/SFO.
#ImageForensics
@MicrobiomDigest on X.
Blog: ScienceIntegrityDigest.com
Support me: https://www.patreon.com/elisabethbik
VC at Menlo Ventures. Formerly founding team Glean, Google Search. Cornell CS. Tweets about tech, immigration, India, fitness and search.
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net
RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
Building. Affiliations: @JHU, @Penn, @UCSC, @Amazon, @Twitter || Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈
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 :)
Research software engineer at Google DeepMind. Currently doing science stuff. In a previous life worked in VFX and games
Research Scientist @ Google DeepMind. Formerly Robotics, now AI Safety. Has a blog. Views are my own.
making coffee (to make robots (to make coffee)) @ deepmind nyc
find me at your local coffee shop, climbing gym, or music studio.
✨ hellojas.studio
Impact data analyst at Google DeepMind. Interested in AI, economics, complexity, metascience, research methods, science-fiction.
Once made a pixel realtime, 3D Reconstruction @ DeepMind, becoming a crab 🦀🦀🦀
Working on github.com/ArthurBrussee/brush
research @ google deepmind - Imagen2/3, Veo, Gemini, etc…
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning.
Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦
For more info: https://linktr.ee/sharky6000
