@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@jrudoler.bsky.social
wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@bipr.bsky.social
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@kiragoldner.bsky.social
Assistant Professor at BU CDS EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder Previously Columbia, UW, Oberlin. Views are mine alone. www.kiragoldner.com
@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
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@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
@sophie.huiberts.me
linear programming enthusiast. investigator of evil science. haunted by beans. she/her
@mahdi.ch
Theoretical Computer Science professor @ U. of Michigan-Ann Arbor. Opinions are mine and may evolve over time. repost ≠ endorsement. Policy: I don't interact with anonymous profiles. Join AAUP. he/him/his.
@optimistsinc.bsky.social
Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
@anupamg.bsky.social
Professor, Computer Science, New York University. Interested in Algorithms.
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@henryyuen.bsky.social
Complexity, in all its forms. Associate Professor of Computer Science at Columbia University. http://www.henryyuen.net
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@jasonhartline.bsky.social
Professor at Northwestern CS. Economics, by courtesy. Study mechanism design, economics of algorithms, regulation of algorithms, AI and society. https://sites.northwestern.edu/hartline/
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@eigx.bsky.social
Assistant Professor at the University of Michigan. I design fast graph algorithms in dynamic/distributed/local settings. https://sites.google.com/site/thsaranurak/
@fedeadolfi.bsky.social
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io
@geomblog.bsky.social
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
@lenoreblum.bsky.social
Mathematician and Theoretical Computer Scientist (#mathematics, #TCS) interested in #Consciousness and #NeuroAI (#Neuroscience, #AI). Distinguished Career Prof of CS at CMU, Emerita. President, Assoc for MathConscSci (AMCS) (https://amcs-community.org)
@hatami.bsky.social
@voronovank.bsky.social
PhD student at TCS BU. Interested in sublinear algorithms and quantum. On the job market!
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@divyarthi.bsky.social
Postdoctoral Fellow @BU_CDS. Previously postdoc @TelAvivUni and PhD @Princeton. https://www.divyarthimohan.com
@gkatzelis.bsky.social
Associate professor of Computer Science at Drexel University. Interested in mechanism design, game theory, algorithms, fair division. https://www.cs.drexel.edu/~gkatz/
@jamiemmt.bsky.social
CS professor at UW, research focus in theory of ML, fairness, and econCS
@gbodwin.bsky.social
Assistant professor at UMich. I do theoretical computer science and graph theory.
@huckbennett.bsky.social
Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music. https://home.cs.colorado.edu/~hbennett/
@focs2025.bsky.social
Official account for the 2025 IEEE Symposium on Foundations of Computer Science (FOCS), to be held in Sydney, Australia, Dec 14-17, 2025.
@yannaigonch.bsky.social
Faculty @ Harvard Econ + Harvard Computer Science, past: MSR HebrewU, classical (opera) singer, father of two (+a pug) | tweets my own, repost≠endorse https://yannai.gonch.name/
@ellen-v.bsky.social
Assistant Professor at Stanford Machine learning, algorithm design, econ-CS https://vitercik.github.io/