@kylieainslie.bsky.social
Senior Researcher in Infectious Disease Modelling @rivm-nl.bsky.social | Organizer @rladiesamsterdam.bsky.social | Crazy dog lady 🐶 🌈 Personal website: https://kylieainslie.github.io/ LinkedIn: https://www.linkedin.com/in/kylieainslie #rstats #rladies
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@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
@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
@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
@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 🐶🚴♀️🏔️🎗️
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@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
@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
@kareemcarr.bsky.social
Stats PhD student @Harvard • My posts are a cool, refreshing breeze of nerdy content crafted for a broad audience. Follow me to enter the nerd space safe.
@seanjtaylor.com
Data Science, Causal Inference, Economics, Statistics and Machine Learning Two joys in life: [1] Learning something interesting about the world [2] Telling people about it Data Science @OpenAI
@devezer.bsky.social
Metascientist @ uidaho. I work at the intersection of behavioral sciences, statistics, and philosophy. Love thinking and talking about science. Post lots of cat and food pics. Allergic to advice.
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
@aaronclauset.bsky.social
NO KINGS. NO NAZIS. FUND SCIENCE. Professor of Computer Science @ BioFrontiers Institute at University of Colorado, Boulder and External Faculty @ Santa Fe Institute orcid: https://orcid.org/0000-0002-3529-8746
@azjacobs.bsky.social
Asst Prof of Information @ UMich thinking about assumptions built into AI
@beeonaposy.bsky.social
Data + product + books + parenting. DS @ Figma; blogging @ caitlinhudon.com
@richarddmorey.bsky.social
Statistics, cognitive modelling, and other sundry things. Mastodon: @richarddmorey@tech.lgbt [I deleted my twitter account]
@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
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@danlarremore.bsky.social
Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute LarremoreLab.github.io
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@jugander.bsky.social
Associate Professor, Stanford MS&E. Visiting Yale FDS '24-'25. Social networks, social and behavioral data, causal inference, mountains. www.stanford.edu/~jugander/
@gaelvaroquaux.bsky.social
Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD
@aliceschwarze.bsky.social
Head of Research @ Utah AI Policy Office // math, networks, complex systems, machine learning, and all things AI // mom & cat lady
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com