Srikar Katta
Apple Scholar | PhD student at Duke | causal inference | interpretable ML | wearables
@austin-van-loon.bsky.social
Assistant professor of work and organization studies at MIT Sloan School of Management. I’m a sociologists and computational social scientist studying culture, identity, intergroup conflict, and other things I find interesting or important.
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@scholargoggler.bsky.social
Make your own clouds from Google Scholar, PubMed or Semantic Scholar at https://scholargoggler.com/ Show your gratitude at https://ko-fi.com/scholargoggler
@jclinepi.bsky.social
Metascience and innovative methods to improve population health Co-Editors-in-Chief: @andreatricco.bsky.social and @davidit.bsky.social Jclinepi.com Published by Elsevier
@joshua-goodman.com
Education economist @ BU Wheelock & Economics Dept | Wheelock Education Policy Center (@wheelockpolicybu.bsky.social) | Co-editor @ JHR | White House CEA 2022-23 | www.joshua-goodman.com
@khoavuumn.bsky.social
@epiellie.bsky.social
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@dougwebberecon.bsky.social
Principal Economist, @federalreserve. Opinions are my own. I have many dogs.
@dattascientist.bsky.social
Associate Professor of Biostatistics, Johns Hopkins University Geospatial statistics, machine learning, AI, environmental health, global health https://abhidatta.com/
@chelseaparlett.bsky.social
Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
@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/
@rafalab.bsky.social
Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.
@lmiratrix.bsky.social
Associate professor at the Harvard Graduate School of Education. Works on statistical methodology, causal inference, text as data, randomized experiments, and sometimes bad prose and poetry.
@paulgp.com
Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
@jcmecon.bsky.social
Health Economist at GMU Schar School. Research Associate at NBER. Co-editor at the Journal of Policy Analysis and Management. Associate Editor at the Journal of Health Economics. Crazy about my dogs & proudly Canadian.
@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
@jenniferdoleac.bsky.social
Economist. Executive Vice President of Criminal Justice at Arnold Ventures. Host of the Probable Causation podcast. Author of The Science of Second Chances, to be published by Holt in 2026. I study crime & discrimination. https://jenniferdoleac.com
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@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
@mathematicanow.bsky.social
Research and evaluation, advisory services, and data solutions for better outcomes. Employee-owned, #ProgressTogether
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@chrisbail.bsky.social
Duke Professor directing https://scai.duke.edu, https://sicss.io & https://polarizationlab.com. Author of Breaking the Social Media Prism.
@econgradstudent.bsky.social
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.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
@avifeller.bsky.social
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@lesiasemenova.bsky.social
Postdoctoral Researcher at Microsoft Research • Incoming Faculty at Rutgers CS • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@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
@causalhuber.bsky.social
Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
@margoseltzer.bsky.social
@harshparikh.bsky.social
(Incoming) Assistant Professor, Yale University Causal Inference and Machine Learning Postdoctoral Fellow -- Johns Hopkins University
@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
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app