🇨🇦 | Human-centric ML 🐈🐈⬛🎥 📕 🎮 🧶 📸 | This is a personal account all views are my own |
On Mondays Jon Stewart hosts The Daily Show, but on Thursdays he hosts The Weekly Show. Listen wherever you get your podcasts & watch on YouTube.
Waitress turned Congresswoman for the Bronx and Queens. Grassroots elected, small-dollar supported. A better world is possible.
ocasiocortez.com
Amanda Katz said this was the cool kids table.
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC.
My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science.
https://www.idanattias.com/
Assistant Professor & Canada CIFAR AI Chair, University of Waterloo & Vector Institute | Excited about "grounding" in any form | Feeder of 🐈 | 🏸, 🏐, 🏂 | she/her
Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind
#machinelearning, #nlp
victorzhong.com
Here for the IR laughs and the NLP fun
CS prof at University of Waterloo. Interested in security and privacy.
Assistant Professor, University of Waterloo. I try to help people make informed decisions with data. #HCI, #Viz, applied #AI/#ML.
Grumpy old American mathematician and computer scientist, now retired. My Erdös number equals 1.
Associate Professor at CS UWaterloo
Machine Learning
Lab: opallab.ca
#HCI researcher, assistant professor of computer science at the university of waterloo. previously {tableau | microsoft} research. interested in #visualization and ubietous information experiences. https://mattbrehmer.ca | https://ubixgroup.ca
CS prof at University of Waterloo and Research Scientist at Google DeepMind.
Mathematics, Computer Science, Art, Design, Music, Soup, Pedantry. he/him/anything
Mainly over at @csk@mathstodon.xyz, but happy to follow people here and might check in occasionally.
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
