Sid Devic
PhD student @USC, previously undergrad @UT_Dallas. Algorithmic fairness and ML theory.
Research site: https://sid.devic.us/
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@vsergei.bsky.social
Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/
@vkraman.bsky.social
Ph.D. candidate @UMich. NSF Graduate Research Fellow @NSFGRFP and previous intern @Apple My website: https://vinodkraman.github.io
@bmucsanyi.bsky.social
ELLIS & IMPRS-IS PhD Student at the University of Tübingen. Excited about uncertainty quantification, weight spaces, and deep learning theory.
@surbhigoel.bsky.social
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
@vgup.bsky.social
PhD student at UPenn, in machine learning / responsible AI and game theory. guptavarun.com
@rishav84ia.bsky.social
PhD student at NUS; Differential Privacy and Machine (Un)Learning Trying to stop machines from learning too much about us comp.nus.edu.sg/~rishav1
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@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/
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@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)
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@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.
@alroth.bsky.social
Stanford economist. I have a market design blog: https://marketdesigner.blogspot.com/ Lately I’m interested in #controversial markets
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@moshebab.bsky.social
Assoc. Prof. of CS at the Hebrew University. Algorithmic Game Theory. Economics and Computation. https://sites.google.com/view/babaioff/about-me
@shivamnadimpalli.bsky.social
CS Theory postdoc at MIT (https://math.mit.edu/~shivamn)
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@mdinitz.bsky.social
Associate Professor, Department of Computer Science, Johns Hopkins University. https://www.cs.jhu.edu/~mdinitz/
@taylorjsmith.bsky.social
🇨🇦 Theoretical computer scientist. Assistant professor at @stfx-university.bsky.social. Website: taylorjsmith.xyz.
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@ellen-v.bsky.social
Assistant Professor at Stanford Machine learning, algorithm design, econ-CS https://vitercik.github.io/
@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.
@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/
@jamiemmt.bsky.social
CS professor at UW, research focus in theory of ML, fairness, and econCS
@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/
@divyarthi.bsky.social
Postdoctoral Fellow @BU_CDS. Previously postdoc @TelAvivUni and PhD @Princeton. https://www.divyarthimohan.com
@voronovank.bsky.social
PhD student at TCS BU. Interested in sublinear algorithms and quantum. On the job market!
@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)
@fedeadolfi.bsky.social
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io
@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/
@sophie.huiberts.me
linear programming enthusiast. investigator of evil science. haunted by beans. she/her
@asusarla.bsky.social
Omura-Saxena Professor of Responsible AI at the Broad College of Business at Michigan State University. Some of my general writings can be found at: https://anjanasusarla.substack.com
@natashajaques.bsky.social
Assistant Professor at UW and Senior Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@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.
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@cendemtech.bsky.social
The Center for Democracy & Technology. Shaping technology policy and architecture, with a focus on equity and justice. @CDTEU.bsky.social for our EU-based team. https://cdt.org
@maxthiessen.bsky.social
PhD student in machine learning at TU Wien. Graphs | active learning | learning theory https://maxthiessen.github.io