Alex Luedtke
associate professor of statistics @uw • causal inference, machine learning, nonparametrics
alexluedtke.com
@cameron.pfiffer.org
AI systems, financial economics PhD, ATProto fan, man with tattooed legs Signal: https://signal.me/#eu/AQ1ajwHwgg0rabcRsdtkm9UYpdg52axiruSTFMmrFy0LR4Ds8pdH25jzjoTc2bGu
@jiweizhao.bsky.social
Associate Professor of Statistics and of Biostatistics & Medical Informatics at UW-Madison • Semiparametrics, Domain Adaptation, Machine Learning, Causal Inference, Patient Reported Outcome, Aging, Mental Health
@lestermackey.bsky.social
Machine learning researcher at Microsoft Research. Adjunct professor at Stanford.
@economeager.bsky.social
Aspiring wastrel, applied econometrician. At http://rachaelmeager.com for bayes, dev econ and meta science. Also at http://rottenandgood.substack.com for writing, art, death and emotions. Gay academic nonbinary weirdo, cursed to be serious in life.
@hakeemjefferson.bsky.social
Assistant professor of political science. I think about identity, stigma, race, and politics more than any normal person should. Lover of life. Pro-democracy. People should dance more. Not Hakeem Jeffries, the Minority Leader.
@kjhealy.co
Social science and other distractions. Old posts get deleted pretty quick. https://kieranhealy.org / https://theordinalsociety.com
@neillewisjr.bsky.social
Behavioral Scientist & Science Communicator. Nancy and Peter Meinig Family Investigator in the Life Sciences and Associate Professor of Communication, Medicine, and Public Policy at Cornell University. More here: neillewisjr.com Personal account
@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
@adrianraftery.bsky.social
Statistician at UW developing methods for demography, climate change, cluster analysis, model selection & averaging.
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@larrysummers.bsky.social
Charles W. Eliot Professor and President Emeritus at Harvard, former Secretary of the Treasury for President Clinton
@kararudolph.bsky.social
Associate professor at Columbia University Epidemiology, causal inference, addiction medicine https://kararudolph.github.io/
@kellyvanlancker.bsky.social
Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
@nparikh.org
Teaching AI policy at Columbia (https://nparikh.org/sipa6545). Previously Director of AI for NYC. https://nparikh.org
@arthurgretton.bsky.social
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@maggieappleton.com
Design engineer exploring applied AI and hacky prototypes. Adores digital gardening, end-user development, and embodied cognition. Makes visual essays about design, programming, and anthropology. 📍 London 🌱 maggieappleton.com
@warren.senate.gov
U.S. Senator, Massachusetts. She/her/hers. Official Senate account.
@berkeleyctml.bsky.social
CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine. https://linktr.ee/ctml_ucberkeley
@raziehnabi.bsky.social
Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc raziehnabi.com
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@acarriquiry.bsky.social
President's Chair in Statistics at Iowa State, interested in Bayesian methods, forensic statistics, stats in nutrition, sampling. Proud Latina, political and news junkie, happily married, dog and other critter lover. Addicted to the NYT crossword.
@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, ...
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@dailycorrelation.bsky.social
Correlation is not causation: your daily dose of spurious correlation. Made with @trotsky.pirhoo.com using Tyler Vigen's charts.
@rflperry.bsky.social
Selective inference, stat ML, OSS | PhD Student at UW Stats (https://rflperry.github.io/) | Previously MPI IS, neurodata.io
@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
@vanamsterdam.bsky.social
machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com
@nataliexdean.bsky.social
Associate Professor of Biostatistics at Emory Rollins School of Public Health
@nolancole.bsky.social
Biostatistics phd student @University of Washington Interested in non-parametric statistics, causal inference, and science!
@ethan-ancell.bsky.social
@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/
@jsellenberg.bsky.social
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
@panzhao.bsky.social
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
@wu-biostat.bsky.social
Biostatistician; Prof at Fred Hutch and UW; Developing statistical methods for microbiome/genomic data, cancer clinical trials, and translational medicine.
@danielawitten.bsky.social
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
@nshejazi.bsky.social
assistant professor of biostatistics at harvard—causal inference, machine learning, and semi-parametric estimation for science on infectious and chronic diseases and cancer avid runner, concertgoer, timezone hopper https://nimahejazi.org
@pwgtennant.bsky.social
Epidemiologist with an interest in causal inference methods at @universityofleeds.bsky.social. Check out my Intro to Causal Inference Course: https://www.causal.training/ #Epidemiology, #EpiSky, #CausalInference, #CausalSky, #AcademicSky
@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
@neurostats.org
AI in Bio & Health & Therapeutic Development Bio: https://linktr.ee/mnarayan Substack: https://blog.neurostats.org Peek into my brain: notes.manjarinarayan.org Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS 🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com