@thedrdery.bsky.social
Infectious diseases doctor & broadcaster. Co-founded WHIV FM (NOLA) for human rights & social justice. Physician & epidemiologist responding to viral outbreaks. Share info daily via podcast & media. Emphasize social, economic & racial equity in reporting.
@xkcd.com
@shaunvids.bsky.social
https://www.twitch.tv/shaun_vids https://www.youtube.com/@Shaun_vids https://www.patreon.com/shaunfromyoutube
@wufoultimate.bsky.social
Williams College’s men’s and non-binary Ultimate team, WUFO. Sugar, Water, Purple.
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@petebuttigieg.bsky.social
Husband, dad, veteran, writer, and proud Midwesterner. 19th US Secretary of Transportation and former Mayor of South Bend.
@matyasch.bsky.social
PhD Candidate in causality-inspired ML/RL at the University of Amsterdam
@mmitchell.bsky.social
Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse. Former: Google, Microsoft; Current: Hugging Face
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@katakeith.bsky.social
NLP and computational social science (CSS) researcher. Assistant Professor in Computer Science at Williams College. AI2 and UMass Amherst alum. she/her. https://kakeith.github.io/
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]