@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@hannahli.bsky.social
Assistant Prof at Columbia || Studying data science and its interactions with human behavior || Applications in education, healthcare, and online platforms. https://hannahql.github.io/
@ellen-v.bsky.social
Assistant Professor at Stanford Machine learning, algorithm design, econ-CS https://vitercik.github.io/
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@nkgarg.bsky.social
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
@surbhigoel.bsky.social
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
@jagterberger.bsky.social
Statistics professor at the University of Illinois Urbana-Champaign. I do high-dimensional statistics, network analysis, some optimization, and matrix analysis Postdoc @ Penn, PhD @ Johns Hopkins I also love running
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@joshvendrow.bsky.social
CS PhD Student @ MIT, interested in safe and reliable machine learning.
@souravmishra.bsky.social
I like to talk about ML & 3D. University of Tokyo alumni. Previously: Virginia Tech, Stanford Biodesign. Visiting Fellow @ MSR Big Data
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@emmapierson.bsky.social
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement." https://people.eecs.berkeley.edu/~emmapierson/
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@aifi.bsky.social
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev) https://andrewilyas.com
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@monicaagrawal.bsky.social
Asst prof at Duke University. Co-founder at LayerHealth. ML and NLP for healthcare. Recruiting PhD students for Fall 2025! PhD MIT, BS/MS Stanford. She/her.
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app