Mahdi Haghifam
Researcher in ML and Privacy.
Distinguished Postdoc at Khoury College Northeastern.
PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH
https://mhaghifam.github.io/mahdihaghifam/
@misovalko.bsky.social
Chief Models Officer @ Stealth Startup; Inria & MVA - Ex: Llama @AIatMeta & Gemini and BYOL @GoogleDeepMind
@bkacsmar.bsky.social
Assistant Professor at the University of Alberta. Amii Fellow. Human-centered privacy enhanced data science e.g., ML, MPC, PSI, etc. My group is PUPS, Practical Usable Privacy and Security Accepting students for Fall 2025 https://bkacsmar.github.io//
@vaishnavh.bsky.social
Foundations of AI. I like toy examples and creative ideas. 🧮🧸 Google Research | PhD, CMU | https://arxiv.org/abs/2403.06963 vaishnavh.github.io
@rahimian.bsky.social
assistant prof | networks, data, decisions https://aminrahimian.github.io/ https://sociotechnical.pitt.edu/
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@sendhil.bsky.social
@christianlebeda.bsky.social
@matt19234.bsky.social
I am a UWaterloo PhD student working on differential privacy for machine learning
@shivamnadimpalli.bsky.social
CS Theory postdoc at MIT (https://math.mit.edu/~shivamn)
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@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
@sologen.bsky.social
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents. Associate Professor at Polytechnique Montréal and Mila. 🇨🇦 academic.sologen.net
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@thepalakjain.bsky.social
Privacy and Cryptography PhD student at Boston University. | they/them website: thepalakjain.com
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
@corentin-pla.bsky.social
PhD student @Criteo-INRIA-CREST | RL, Privacy, Learning augmented algorithms
@aviad-rubinstein.bsky.social
Algorithms for Toddlers (https://youtu.be/nnLOi3ia210) | Algorithms for Teenagers (https://tinyurl.com/2cnp39cf) | Algorithms for Grown Ups (http://dblp.org/pid/11/10308)
@amirrezashaeiri.bsky.social
CS PhD Student at Purdue University. Interested in statistical learning theory.
@vkraman.bsky.social
Ph.D. candidate @UMich. NSF Graduate Research Fellow @NSFGRFP and previous intern @Apple My website: https://vinodkraman.github.io
@g-k.ai
Research Scientist @ Google DeepMind in London working on AI privacy, security and safety. Previously @ Imperial College London, TU Munich, Helmholtz Munich. 🇪🇺 🏳️🌈 https://www.g-k.ai
@amirmesbah.bsky.social
Graduate Student - Interested in RL and its mathematics 👾 > https://amirhosein-mesbah.github.io/
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@anirudh-rayas.bsky.social
PhD candidate at Arizona State University. Research on high dimensional statistics, graphical models and machine learning. https://anirudhrayas.github.io/
@gbodwin.bsky.social
Assistant professor at UMich. I do theoretical computer science and graph theory.
@jmscarlett.bsky.social
Associate Professor, National University of Singapore. Working in information theory, machine learning, and statistics.
@daneelssoul.bsky.social
@nnekaokolo4.bsky.social
RL Researcher | Final-year PhD Student Interested in RL theory, stochastic optimization and online learning https://scholar.google.com/citations?hl=en&user=_8bbF8YAAAAJ
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@yongyi-mao.bsky.social
Professor at EECS, University of Ottawa, Canada. Specialized in communication, information theory and machine learning
@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/
@differentialprivacy.org
🤖 new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract/metadata + updates from https://differentialprivacy.org [Under construction.]
@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
@ravimangal.bsky.social
Computer Scientist. Assistant Professor at Colorado State University. Formal Methods + Trustworthy Machine Learning
@etambenger.bsky.social
@mmondelli.bsky.social
Professor at IST Austria | Machine learning, information theory | Prev: Stanford, EPFL | opinions my own
@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/
@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]
@gabrielpeyre.bsky.social
@skiandsolve.bsky.social
⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@anupamg.bsky.social
Professor, Computer Science, New York University. Interested in Algorithms.