@tunazislam.bsky.social
https://tunazislam.github.io/ Visiting Assistant Professor @PurdueCS Ph.D. @PurdueCS, MSc @oducs, BSc @BUETCSE Travelholic🌎Yogi🧘♀️Mom of 2 👧👦 first-generation Ph.D.👩🎓 Interests: Computational Social Science (CSS), NLP, Social Media Mining
@natolambert.bsky.social
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef Writes http://interconnects.ai At Ai2 via HuggingFace, Berkeley, and normal places
@kellyvanlancker.bsky.social
Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
@sunwoopkim.bsky.social
Theoretical physicist. Currently a PhD candidate at King's College London. Same handle on 🐦 and 🐘. Personal website: https://sunwoo-kim.github.io
@burakvarici.bsky.social
Postdoc at CMU, previously PhD at RPI. Causality, representation learning, misc.
@wired.com
At wired.com where tomorrow is realized || Sign up for our newsletters: https://wrd.cm/newsletters Find our WIRED journalists here: https://bsky.app/starter-pack/couts.bsky.social/3l6vez3xaus27
@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/
@casualinfer.bsky.social
Casual Inference Podcast. Hosted by @LucyStats.bsky.social & @EpiEllie.bsky.social | Partnered with The American Journal of Epidemiology | Casual chats about epi & stats. Episodes every other week!
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@epiellie.bsky.social
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
@researchtrend.ai
Explore the latest AI research trends and meet others in the field at ResearchTrend.AI. https://researchtrend.ai/
@capcold.bsky.social
Berufsklugscheisser. Studies news environments and online culture. Teaches media stuff at Drexel, does media stuff at slownews.kr and others. Reads comics. https://capcold.net
@angelinawang.bsky.social
Postdoc at Stanford HAI | ML fairness and algorithmic bias | incoming Asst Prof at Cornell Info Sci and Cornell Tech https://angelina-wang.github.io/
@dingdingpeng.the100.ci
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
@saehwan-kr.bsky.social
선임 AI 과학자 @pennmedicine.bsky.social 파트타임 CS 대학원생 @pennengineering.bsky.social 경도의 사회민주주의자 반대: 여성차별 장애인차별 외국인차별 LGBTQ차별 관심사: CS전반 / AI+ML / Rust 섭컬,가젯,오디오,주류,음료,다이닝 얘기도❤️
@pyeonjeon.bsky.social
@jaeyeonkim.bsky.social
incoming asst prof of public policy @UNC Chapel Hill | ex-data science @codeforamerica | Data for Good Roundtables co-founder | runner https://jaeyk.github.io
@facct.bsky.social
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). June 23rd to June 26th, 2025, in Athens, Greece. #FAccT2025 https://facctconference.org/
@yliu.de
Assistant Professor at the University of Illinois Urbana-Champaign https://yaoyaoliu.web.illinois.edu/
@erictopol.bsky.social
physician-scientist, author, editor https://www.scripps.edu/faculty/topol/ Ground Truths https://erictopol.substack.com SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
@jaap.abbring.org
Professor of econometrics at Tilburg U. Managing editor of EctJ. Fellow of IAAE, ES, and CEPR. https://jaap.abbring.org
@hsph.harvard.edu
Health, dignity, and justice for every human. This is the official account for #HarvardChan: hsph.harvard.edu
@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
@valik-melnychuk.bsky.social
PhD Candidate at Institute of AI in Management, LMU Munich causal machine learning, causal inference
@janexwang.bsky.social
Staff research scientist at Google DeepMind. AI and neuro. Former physicist, current human. Find more at www.janexwang.com
@axz.bsky.social
Professor of social computing at UW CSE, leading @socialfutureslab.bsky.social social.cs.washington.edu
@aparnabee.bsky.social
PhD student @MIT. Previously: @Uoft/@VectorInst, @winterlightlabs, and @IITGuwahati
@murat-kocaoglu.bsky.social
Asst. Prof. at Purdue ECE. Causal ML Lab. Causal discovery, causal inference, deep generative models, info theory, online learning. Past: MIT-IBM AI Lab, UT Austin, Koc, METU.
@jrgant.bsky.social
Research Scientist + Asst Prof (Practice) @ Brown SPH. Interested in epidemiology, stats, modeling, ID, complexity, causality. Know just enough to be dangerous. Current quest: never leave Emacs. (Personal account. Opinions not even my own.)
@olgavitek.bsky.social
@mjskay.com
Assoc Prof Computer Science and Communication Studies at Northwestern. Infovis, HCI. Author of tidybayes & ggdist R pkgs. he/him. 🏳️🌈 https://mjskay.com/ Co-director https://mucollective.northwestern.edu Co-founder https://journalovi.org
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@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
@danielawitten.bsky.social
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
@gabrielpeyre.bsky.social
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@statsepi.bsky.social
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #WBE #IDSurveillance Views mine -> https://statsepi.substack.com/
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@alexpghayes.com
incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
@krikamol.bsky.social
Chief Scientist/Faculty at Rational Intelligence Lab @CISPA; Chief Research Officer (CRO) @ http://Cifer.AI; Previously @MPI_IS, @MahidolU, @uclcs, @GatsbyUCL.