Jared Huling
Assistant Professor of Biostatistics, University of Minnesota
https://jaredhuling.org/
@dattascientist.bsky.social
Associate Professor of Biostatistics, Johns Hopkins University Geospatial statistics, machine learning, AI, environmental health, global health https://abhidatta.com/
@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.
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@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
@jensprite.bsky.social
UMN prof married to cranky poet ▪︎ middle-aged cat lady ▪︎ 〽️ Go Blue! ▪︎ I was on Jeopardy!, it was fun ▪︎ this timeline sucks
@amstatnews.bsky.social
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
@statstas.datascience.blue
Social data scientist AMA about survey statistics, sampling weights, small area estimation, multilevel models, latent class analysis, structural equation models, #rstats, #Stata. Scraping contents of this account is not permitted.
@zhenkewu.bsky.social
Assoc Prof @umich. AI for affordable individualized healthcare, computational and interventional digital health. Prev @jhubiostat ❤️Swim, bike, run.
@basucally.bsky.social
Stergachis Family Endowed Professor & Director, The CHOICE Institute (http://uwchoice.org), UW, Seattle, @amstatNews Fellow, @nberpubs RA. (he/him) 🐻 ⬇️
@betsyqcliff.bsky.social
Assistant professor at UChicago Public Health Sciences. Health economist and health services researcher. Posts about health insurance, health spending, patient costs and, occasionally, Gonzaga basketball.
@alisongemmill.bsky.social
Demographer/Epidemiologist. Associate Professor @JohnsHopkinsSPH. Associate Director @HopkinsPopCntr. Repro/perinatal/population health, fertility, life course, health equity.
@susanpaddock.bsky.social
EVP & Chief Scientist, NORC at the University of Chicago. ASA VP 2024-6. Here for the stats, data science, survey methods, AI, health, public opinion research, and more. Opinions are my own.
@whitneyepi.bsky.social
Epidemiologist * Bringing light to gynecologic health and health care * I also love TV Views expressed are personal
@clairemkbowen.bsky.social
Data privacy scientist @urbaninstitute, who posts about science, public policy, triathlon training, hiking, snowboarding, knitting, and hanging out with her pets.
@drjasonbrinkley.bsky.social
Dad, Data Nerd, Hypnotoad Enthusiast Franchise Opportunities Available Views are my own and not of my employer or any group I volunteer with personally or professionally.
@pausalz.bsky.social
Paul Zivich, Assistant (to the Regional) Professor Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast. https://github.com/pzivich #epidemiology #statistics #python #episky #causalsky
@rwidome.bsky.social
I'm an epidemiologist at the UMN's Division of Epidemiology and Community Health. I like rabbits. I like iced tea. I also like plots that involve time travel. On Twitter and elsewhere I'm rwidome too. More on me: https://widome.carrd.co/
@akpix.bsky.social
Writer, editor, photographer, videographer. Editor at MPR News. Wanderer in the Upper Midwest and beyond. MN by way of WI and AK. [email protected]
@bbolker.bsky.social
Ecology, evolution, epidemiology, statistics (mixed models). McMaster University, Hamilton, Ontario
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@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
@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.
@jsellenberg.bsky.social
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@djvanness.bsky.social
Economist; professor; health evaluation and decision science. Advocate for high quality, affordable higher education as a public good. Personal views. #AcademicSky #EconSky #Bayesian https://orcid.org/0000-0002-9790-2988
@tominedinburgh.bsky.social
NHS data analyst / statistician Probably mostly reposting stats | R | science content
@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
@gvludwig.bsky.social
Assistant Professor of Statistics at UNICAMP. Ph.D. University of Wisconsin-Madison. Twitter émigré.
@hneprash.bsky.social
Associate Prof @ UMN School of Public Health. Health economist. Formerly House Ways and Means + MedPAC.
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@etchin.bsky.social
Assistant Professor of Biostatistics at Johns Hopkins • health equity • data science • studying mass incarceration and algorithm bias
@amirasiaee.bsky.social
Assistant Professor of Biostatistics, Vanderbilt University Medical Center
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@keegankorthauer.bsky.social
🧬🖥️ Biologist turned statistician developing tools for (epi)genomics 🇨🇦 Assistant Prof UBC Stats & BC Children's Hospital Research Institute https://www.korthauerlab.com/ She/her
@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
@triadsou.bsky.social
Biostatistician, Bioinformatician. My interests: Biostatistics, Bioinformatics, Survival Analysis, Meta-analysis, Diagnostic Statistics, and Causal Inference. https://linktr.ee/tridasou
@ecpolley.bsky.social
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
@achatton.bsky.social
Postdoctoral researcher at Université Laval. PhD in Biostatistics. Causal inference - Casual chess. 🇫🇷🇪🇺 living in lovely 🇨🇦
@statstipton.bsky.social
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
@wu-biostat.bsky.social
Biostatistician; Prof at Fred Hutch and UW; Developing statistical methods for microbiome/genomic data, cancer clinical trials, and translational medicine.
@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.)
@tyk314.net
She/Her, NIH, Ex-PCORI, Health Policy (UMD), Biostats (UW). AMSTAT 2027 HPSS Chair. ADRD, RCTs/PCTs, LHS, AI Warrior in Training. 🏊♀️🥐🌈🐱🐔Human to @parrishpets.bsky.social. My skeets, not NIH's. Reskeets &❤️≠endorsements. Signal: tyk314.15.
@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/