Jiwei Zhao
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
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@enar-ibs.bsky.social
Oficial Bluesky account of the Eastern North American Region of the International Biometric Society.
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@arthurgretton.bsky.social
@alecmcclean.bsky.social
Postdoc @ NYU Grossman; stats / ML + causal inference https://alecmcclean.github.io/
@colmweb.org
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
@blog.neurips.cc.web.brid.gy
[bridged from https://blog.neurips.cc/ on the web: https://fed.brid.gy/web/blog.neurips.cc ]
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@oxfordstatistics.bsky.social
We're the Department of Statistics at the University of Oxford (UK). We provide teaching & complete research on computational statistics and statistical methodology, probability, bioinformatics and mathematical genetics. https://www.stats.ox.ac.uk/
@panzhao.bsky.social
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
@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/
@nshejazi.bsky.social
assistant professor of biostatistics at harvard — causal inference, machine learning, and semi-parametric estimation, mostly for questions in infectious disease science and climate change avid runner, concertgoer, timezone hopper https://nimahejazi.org
@jmgran.bsky.social
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
@isba-bayesian.bsky.social
The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications. https://bayesian.org
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@paperposterbot.bsky.social
posts updates from arXiv rss feeds for methodology papers in Statistics and Econometrics. Also maintains an arxiv and posts random papers from it. maintainer: @apoorvalal.com source code: https://github.com/apoorvalal/bsky_paperbot
@royalstatsoc.bsky.social
We're a membership body for statisticians and data professionals, promoting a world with data at the heart of understanding and decision-making.
@mcarone.bsky.social
Professor of Biostatistics, University of Washington School of Public Health. Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division. Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science. 🇨🇦🇮🇹🇦🇲
@juhakarvanen.bsky.social
Professor of Statistics at University of Jyväskylä. Interested in causal models, study design, and missing data. Homepage: http://users.jyu.fi/~jutakarv/
@yiranwang.bsky.social
Postdoc in BIOSTAT @yalesph.bsky.social| PhD in STAT @uwaterloo.ca| MS in STAT @ucirvine.bsky.social| Bayesian statistics, causal inference, statistical ecology, environmental health
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@vmminin.bsky.social
grew up as a human in Ukraine, grew up as a scientist in USA | stochastic processes | statistical modeling | infectious disease dynamics | phylogenetics | systems biology | DEI in STEM/Statistics | faculty @ucirvine.bsky.social http://vnminin.github.io
@jagterberger.bsky.social
Statistics professor at the University of Illinois Urbana-Champaign. I do high-dimensional statistics, network analysis, some optimization, and matrix analysis Postdoc @ Penn, PhD @ Johns Hopkins I also love running
@jaredhuling.bsky.social
Assistant Professor of Biostatistics, University of Minnesota https://jaredhuling.org/
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/
@bonv.bsky.social
Assistant Professor in the Department of Statistics at Rutgers He/him 🏳️🌈
@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
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@causalab.bsky.social
Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab
@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/
@jsellenberg.bsky.social
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
@statstipton.bsky.social
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
@sarahlotspeich.bsky.social
Biostatistics | Now: Assistant Prof @ Wake Forest Stat | Then: Postdoc UNC Biostat, PhD Vanderbilt Biostat & BS @ UF Stat | Always: Data, Donuts, & Dolly Parton
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@amstatnews.bsky.social
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.