Aarshvi Gajjar
CS PhD @NYU;
Active learning, randomized sketching and sampling, high dimensional statistics, fundamental problems in ML.
https://aarshvig.github.io
@benbenbrubaker.bsky.social
Staff writer @quantamagazine.bsky.social covering computer science. Formerly freelance physics writer (Quanta, SciAm, Physics Today, elsewhere), ex-physicist. [Obligatory disclaimer about views being my own.]
@quantamagazine.bsky.social
Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
@arxiv-cs-ds.bsky.social
Computer Science -- Data Structures and Algorithms (cs.DS) source: https://export.arxiv.org/rss/cs.DS maintainer: @tmaehara.bsky.social
@arxiv-cs-cc.bsky.social
Computer Science -- Computational Complexity (cs.CC) source: https://export.arxiv.org/rss/cs.CC maintainer: @tmaehara.bsky.social
@ericaklarreich.bsky.social
Mathematics and science journalist. My work has appeared in Quanta, Nature, The Atlantic, New Scientist, Science News and other publications.
@graemesmith.bsky.social
Theorist in Waterloo. Quantum information, quantum computing, science, parenting. https://gsbsmith.ca
@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
@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
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@jchirinosrguez.bsky.social
I got a PhD in applied math not so long ago. I like inverse problems and optimization. I also drink a lot of coffe ☕
@marklstone.bsky.social
Stochastically modeling, analyzing, and optimizing for more than 4 decades.
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@viditnanda.bsky.social
Professor of Mathematics at Oxford and Fellow of Pembroke College: people.maths.ox.ac.uk/nanda
@dbindel.bsky.social
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@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
@damekdavis.bsky.social
Currently an associate professor at Cornell. Working on optimization/ML. Missing California. DamekDavis.com
@shriram.bsky.social
Brown Computer Science / Brown University || BootstrapWorld || Pyret || Racket I'm unreasonably fascinated by, delighted by, and excited about #compsci #education #cycling #cricket and the general human experience.
@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/
@sophie.huiberts.me
linear programming enthusiast. investigator of evil science. haunted by beans. she/her
@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.
@anupamg.bsky.social
Professor, Computer Science, New York University. Interested in Algorithms.
@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)
@fsttcs.bsky.social
The 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science at IIT Gandhinagar
@prahladh.bsky.social
Computer Scientist, Mathematician, Dancer, Uncle https://www.tcs.tifr.res.in/~prahladh/
@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.
@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]
@alanjeffares.bsky.social
Multiplying matrices @Cambridge_Uni & @MSFTResearch | PhD student in Machine Learning | Previously MSc @ucl & BSc @ucddublin alanjeffares.com
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@gbodwin.bsky.social
Assistant professor at UMich. I do theoretical computer science and graph theory.
@teorth.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
@drmichaellevin.bsky.social
I'm a scientist at Tufts University; my lab studies anatomical and behavioral decision-making at multiple scales of biological, artificial, and hybrid systems. www.drmichaellevin.org
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.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
@soumithchintala.bsky.social
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. http://soumith.ch
@stat110.bsky.social
Statistician at Harvard. Probability and paradoxes. Statistics and data science. Books and chess.
@mpshanahan.bsky.social
Professor at Imperial College London and Principal Scientist at Google DeepMind. Posting in a personal capacity. To send me a message please use email.