PhD student studying AI for tactical decision making in complex ocean environments @uniofbath.bsky.social
Distinctly amateur cyclist, triathlete, sailor, climber
https://scholar.google.com/citations?user=WE-zZMoAAAAJ&hl=en
Using computers to read the entrails of modernity (statistics, optimization, machine learning), focused on applications in the social and biological sciences.
Currently: Stats PhD @Harvard
Previously: CS/Soc @Stanford, Stat/ML @Oxford
https://njw.fish
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
I train models @ OpenAI.
Previously Research at DeepMind.
Hae sententiae verbaque mihi soli sunt.
natural language processing and computational linguistics at google deepmind.
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
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Researcher in machine learning, optimization, computer vision, image and signal processing
computers and music are (still) fun
phd @ mit, research @ genlm, intern @ apple
https://benlipkin.github.io/
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
AI professor. Director, Foundations of Cooperative AI Lab at Carnegie Mellon. Head of Technical AI Engagement, Institute for Ethics in AI (Oxford). Author, "Moral AI - And How We Get There."
https://www.cs.cmu.edu/~conitzer/
Researcher in machine learning
