Dustin M Long
Associate Professor of Biostatistics and Data Science, Wake Forest University School of Medicine.
DustinMLong.com
@samanthaseals.bsky.social
Associate Professor ⋅ Mathematics & Statistics ⋅ University of West Florida biostatistician ⋅ wife ⋅ mother ⋅ Girl Scout https://sealslab.github.io/ ⋅ https://cgmlabuwf.github.io/
@maritbveierod.bsky.social
Professor in Biostatistics, Oslo Centre for Biostatistics and Epidemiology-OCBE, Dept. of Biostatistics, Univ. of Oslo, @ocbe.bsky.social @uio.no | Life-science epidemiology https://www.med.uio.no/imb/english/research/groups/epidemiological-studies/
@ocbe.bsky.social
OCBE develops statistical, machine learning and epidemiological methods to progress science and contribute to a better health @uio.no and Oslo University Hospital https://www.med.uio.no/imb/english/research/centres/ocbe/
@jmgran.bsky.social
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
@purpledeacon.bsky.social
If not us then who? | Healthcare | Housing | Education | Criminal justice reform | 🌈 Ally | WFU Baseball, Basketball and Football | 🎩 Go Deacs! | U of Mount Union and WFU MBA | Mom to 3 sons | Deconstructed but still holding on |Matt 22:39
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@linds2481.bsky.social
Epidemiology PhD Student at UNC Chapel Hill | views my own | HIV and clinical cohorts | 🚴🏼♀️🏊♀️🌱📚🦆☕️🐈🏳️🌈👩🍳 She/her
@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
@wakeforest.bsky.social
Official account of Wake Forest University. #ProHumanitate #OurMottoMeansMore
@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
@guilhermeduarte.bsky.social
PhD candidate (OID - @Wharton - @Penn). interests: causality, politics, ML duarteguilherme.github.io
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@jacobmontgomery.bsky.social
Political (Data) Scientist at Washington University in St. Louis. Data science, social media, American politics, and grumpy Bayesian. All opinions my own.
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@astrezh.bsky.social
Assistant Professor, UChicago Political Science. http://www.antonstrezhnev.com
@conjugateprior.org
Señor Research Scientist, an NPC at the Hertie School in Berlin 🇩🇪 via Princeton, Mannheim, Edinburgh and a bunch of other ivory towers that will probably be billiard balls and decorative boxes by the end of the decade.
@dhopkins1776.bsky.social
Political scientist at the University of Pennsylvania. Prof: http://goo.gl/qAOlH9 538: http://goo.gl/1iwZJs
@macartan.bsky.social
WZB Berlin, Humboldt University, TCD https://macartan.github.io/ Politics, conflict, inequality, political economy of development, causal inference
@vitorpossebom.bsky.social
Assistant Professor at Sao Paulo Schools of Economics (FGV). Ph.D. 2022 at Yale. Passionate about Econometrics, especially Causal Inference. (He/his) https://sites.google.com/site/vitorapossebom/
@bstewart.bsky.social
Associate Professor of Sociology, Princeton http://brandonstewart.org/
@dhidalgo.bsky.social
Political Scientist at MIT. Academic focus is on Latin American politics. Advocacy focus is on housing policy in Cambridge, MA and beyond.
@mollyow.bsky.social
Assistant Professor of Political Science | University of Chicago
@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
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@mcuellar.bsky.social
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
@coopermj.bsky.social
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@travisgerke.bsky.social
sometimes #dataBS #causalsky #statsky #episky #rstats but mostly yolo skeeting nonsense
@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
@alxndrmlk.bsky.social
"The Causal Guy" http://causalpython.io Author || Advisor || Educator Host at http://CausalBanditsPodcast.com Causal ML Tutor @ Uni of Oxford CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
@epidbydesign.bsky.social
Epidemiologist, writer, bon vivant. Professor @UNC (opinions my own); co-PI of STAR Cohort; "Morpheus of the Table 2 Fallacy.” He/him.
@mattpfox.bsky.social
Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
@louisahsmith.com
Assistant professor at Northeastern (Health Sciences) & the Roux Institute in Portland, ME. Epidemiologic methods, causal inference, biostats, reproductive and perinatal epi, #rstats, teaching & learning. she/her 🐶🚴♀️🏔️🎗️
@alexpghayes.com
incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
@andrew.heiss.phd
Assistant professor at Georgia State University, formerly at BYU. 6 kids. Study NGOs, human rights, #PublicPolicy, #Nonprofits, #Dataviz, #CausalInference. #rstats forever. andrewheiss.com Signal: andrewheiss.01
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@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
@allendowney.bsky.social
Former professor at Olin College, principal data scientist at PyMC Labs, author of Think Python, and Probably Overthinking It -- blog and book -- and stark raving Bayesian.
@ecpolley.bsky.social
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
@tracysweet.bsky.social
She/Her ~ Statistician/Quant Methodologist at UMD ~ CMU Stats Alum ~ Researches racial equity, social networks, machine learning, Bayesian things ~ Mom of 3 kids, 2 dogs, 1 cat
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@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.
@chrisalbon.com
Director of Machine Learning at the Wikimedia Foundation. We host Wikipedia.