Abhinav Kumar
<Causality | Ph.D. Candidate @mit | Physics>
I narrate (probably approximately correct) causal stories.
Past: Research Fellow @MSFTResearch
Website: abhinavkumar.info
@phillip-lippe.bsky.social
Research Scientist GoogleDeepMind. Working on large-scale pretraining at Gemini. https://phlippe.github.io/
@matyasch.bsky.social
PhD Candidate in causality-inspired ML/RL at the University of Amsterdam
@bhawnapaliwal.bsky.social
Research Engineer @MSFTResearch | Prev - UG CSE IIT Ropar'21 | Large scale ML
@arthurgretton.bsky.social
@nutanlimaye.bsky.social
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@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
@kenwharton.bsky.social
Physics professor at San Jose State. Quantum Foundations. Big fan of space and time, and also many things therein.
@akomandml.bsky.social
CS PhD student @UArkansas EECS interested in causality, generative modeling, and applications in trustworthy AI Website: akomand.github.io LinkedIn: https://www.linkedin.com/in/akomand
@njw.fish
Using computers to read the entrails of modernity (statistics, optimization, machine learning), focused on applications in the social and biological sciences. Currently: Stats PhD @Harvard Previously: CS/Soc @Stanford, Stat/ML @Oxford https://njw.fish
@rahulgk.bsky.social
Assistant Professor at the University of Toronto ⚒️ 🏥 Deep learning and causal inference for computational medicine
@atajer.bsky.social
Professor @RPI Statistical inference, ML, Info theory web: https://www.isg-rpi.com
@benjiewang.bsky.social
Postdoc @ UCLA StarAI Lab, PhD in CS from Oxford. Probabilistic ML, Tractable Models, Causality
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@daily-stoic.bsky.social
Stoic wisdom for everyday life. Join 1,000,000+ other and sign up for our free daily dailystoic.com/email
@yfelekis.bsky.social
PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@sayantansen.bsky.social
Postdoc @quantumlah @NUSingapore Previously: Postdoc @NUSComputing https://sites.google.com/view/sayantans
@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/
@kajunut.bsky.social
Assistant Professor of Physics at IIT Mandi and Science Writer. String Theory.
@hyperboieva.bsky.social
Quantum information, useless information, generally informed. Quantum algorithms researcher at phasecraft.io https://ievacepaite.com/
@quantamagazine.bsky.social
Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@burakvarici.bsky.social
Postdoc at CMU, previously PhD at RPI. Causality, representation learning, misc.
@arminkekic.bsky.social
PhD Student Machine Learning & Causality with Bernhard Schölkopf at Max Planck Institute for Intelligent Systems // Prev.: Applied Science at Zalando, MSc Maths at Oxford, BSc Physics at Heidelberg arminkekic.com
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@rpatrik96.bsky.social
PhD student working on understanding why neural nets generalize @MPI Tübingen | ex-Vector | path2phd.substack.com | 🇭🇺 🇪🇺
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@zhuyuchen.bsky.social
Machine Learning PhD student @UCL. Interested in Causality and AI Safety. yuchen-zhu.github.io
@rickardkarlsson.bsky.social
PhD student working on causal inference and ML @ TU Delft rickardkarlsson.com
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@lpachter.bsky.social
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
@aldopacchiano.bsky.social
AI research at Broad Institute and Boston University. Reinforcement Learning / Bandits / Experiment Design Mexicano 🇲🇽
@stevenstrogatz.com
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com