Ronan Perry
Selective inference, stat ML, OSS
| PhD Student at UW Stats (https://rflperry.github.io/)
| Previously MPI IS, neurodata.io
@emilymbender.bsky.social
Book: https://thecon.ai Web: https://faculty.washington.edu/ebender
@typewriteralley.bsky.social
Pedestrian Reporting at The Urbanist as Contributing Editor Transportation advocate Puget Sound is my home Probably covering a random public meeting (they-them) https://www.patreon.com/typewriteralley
@sgehlbach.bsky.social
University of Chicago, Political Science and Harris School. Director, PhD Program in Political Economy. Autocracy/Eurasia/HPE. Broadstreet blogger. Cards fan but o/w Chicago patriot. 🇺🇦
@brenttoderian.bsky.social
Global advisor on better cities, city planning, transportation & urban change. City planner + urbanist leading @ToderianUW.bsky.social. Past Chief Planner for Vancouver BC. Past/founding President of @CanUrbanism.bsky.social. International speaker & media.
@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.
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@irenetrampoline.bsky.social
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF. https://irenechen.net/
@dattascientist.bsky.social
Associate Professor of Biostatistics, Johns Hopkins University Geospatial statistics, machine learning, AI, environmental health, global health https://abhidatta.com/
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@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/
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@avifeller.bsky.social
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@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
@omaclaren.bsky.social
I use mathematics, computation, statistics, & machine learning to help think about biology, engineering, & other things. University of Auckland, NZ. Research: http://tinyurl.com/ojmscholar, Teaching: https://tinyurl.com/ojmteaching
@f2harrell.bsky.social
Professor of Biostatistics Vanderbilt University School of Medicine Expert Biostatistics Advisor FDA Center for Drug Evaluation and Research https://hbiostat.org https://fharrell.com
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@arxiv-stat-ml.bsky.social
source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social
@nolancole.bsky.social
Biostatistics phd student @University of Washington Interested in non-parametric statistics, causal inference, and science!
@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
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@seattlebikeblog.com
Biking news up Seattle’s hills since 2010. https://www.seattlebikeblog.com/ #SEAbikes #Seattle
@alanjeffares.bsky.social
Multiplying matrices @Cambridge_Uni & @MSFTResearch | PhD student in Machine Learning | Previously MSc @ucl & BSc @ucddublin alanjeffares.com
@danielawitten.bsky.social
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
@ethan-ancell.bsky.social
@noampomsky.bsky.social
@magdalenl.bsky.social
CornellCALS, plant pathologist, scicomm, biking, quilting, uff da
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io
@sherrirose.bsky.social
Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@kathoffman.bsky.social
biostatistician + biostatistics phd student at the university of washington. learning + writing about better ways to conduct research. #rstats, #dataviz, causal inference. she/her. blog: https://www.khstats.com/
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@gmcd.bsky.social
Economics and data science | Former academic now working in the tech sector | Views my own | 🇿🇦 in 🇺🇸 | https://grantmcdermott.com/
@wwwojtekk.bsky.social
Economist, tax policy/inequality. Professional skeptic. Anti-illiberal. http://www.columbia.edu/~wk2110/index.html @wwwojtekk at various other websites
@jakemgrumbach.bsky.social
policy, $, political economy of race // 70-80s soul, 90s hip hop // #DubNation // proud product of miscegenation // Berkeley prof (formerly: Princeton CSDP, UW)
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@dggoldst.bsky.social
Senior Principal Research Manager at Microsoft Research NYC. Economics and Computation Group. Distinguished Scholar at Wharton.
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/