Harsh Parikh
(Incoming) Assistant Professor, Yale University
Causal Inference and Machine Learning
Postdoctoral Fellow -- Johns Hopkins University
@popassocamerica.bsky.social
PAA is a non-profit, scientific, professional organization that promotes and supports research on population issues.
@lizaza.bsky.social
Associate Professor @Danish Centre for Health Economics (@dache-sdu.bsky.social) SDU.
@dache-sdu.bsky.social
The latest news from Danish Centre for Health Economics (DaCHE) at University of Southern Denmark @dache-sdu.bsky.social 🌐 www.dache.dk 👉 www.linkedin.com/company/dache-sdu
@jaredhuling.bsky.social
Assistant Professor of Biostatistics, University of Minnesota https://jaredhuling.org/
@olgatticus.bsky.social
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨ K-hip hop scholar 🇰🇷 and dancer-in-the-making 💃 bit.ly/olga-zaghen
@fionaconlon.bsky.social
Science & solidarity • Here to learn • Cofounder: http://suvita.org • Cambridge alum • Interested in systems / policy / evidence / justice / scaling / health / economics / wellbeing / innovation / hope
@berkeleyctml.bsky.social
CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine. https://linktr.ee/ctml_ucberkeley
@causalclub.di.unipi.it
Causality Club proudly hosted at the University of Pisa and relying on strong assumptions since always. https://causalclub.di.unipi.it/
@alisongemmill.bsky.social
Demographer/Epidemiologist. Associate Professor @JohnsHopkinsSPH. Associate Director @HopkinsPopCntr. Repro/perinatal/population health, fertility, life course, health equity.
@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
@repec-nep-ecm.bsky.social
The latest working papers from RePEc. NEP report ECM (Econometrics) https://nep.repec.org/
@jhsph-cmap.bsky.social
Improving the well-being of individuals and communities affected by mental health and substance use disorders. Visit our website: linktr.ee/johnshopkins_cmap
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@xkcd.com
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@msuzen.bsky.social
Physicist | Scientist | #TheoreticalPhysics #Maths #Philosophy #Cosmology #StatisticalPhysics #Quantum #Gravity #DataScience #AI #MachineLearning Own views. Blog: http://science-memo.blogspot.com
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@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
@lsemethodology.bsky.social
Official account for the Department of Methodology at the London School of Economics and Political Science #partofLSE #LSE
@yfelekis.bsky.social
PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io
@conitzer.bsky.social
AI professor. Director, Foundations of Cooperative AI Lab at Carnegie Mellon. Head of Technical AI Engagement, Institute for Ethics in AI (Oxford). Author, "Moral AI - And How We Get There." https://www.cs.cmu.edu/~conitzer/
@peterbhase.bsky.social
AI safety researcher. PhD from UNC Chapel Hill (Google PhD Fellow). Previously: Anthropic, AI2, Google, Meta
@rafalab.bsky.social
Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.
@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
@zhuyuchen.bsky.social
Machine Learning PhD student @UCL. Interested in Causality and AI Safety. yuchen-zhu.github.io
@rickardkarlsson.bsky.social
PhD student working on causal inference and ML @ TU Delft rickardkarlsson.com
@lesiasemenova.bsky.social
Postdoctoral Researcher at Microsoft Research • Incoming Faculty at Rutgers CS • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
@srikarkatta.bsky.social
Apple Scholar | PhD student at Duke | causal inference | interpretable ML | wearables
@sandeeppai.bsky.social
Research Director @Swaniti | Energy Systems, Coal, Critical Minerals, Just Transition | PhD @ubc | MSc | @CEU | Ex @CSISEnergy @htTweets, host @tieh_podcast
@avifeller.bsky.social
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@nathenry.com
Director of Henry Spatial Analysis | Professional Geographer | Seattleite | Into maps, health data, walking places
@elizmstone.bsky.social
Instructor @rutgersifh.bsky.social. Behavioral health services and policy researcher. Midwesterner at heart.
@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 🐶🚴♀️🏔️🎗️
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@econgradstudent.bsky.social
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com