JungHo Lee
PhD student in Statistics & Data Science at CMU
Causal inference, machine learning, nonparametric statistics with applications to social science
jungholeestat.github.io
@vincentab.bsky.social
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.” http://arelbundock.com
@sivakani.bsky.social
Managing Editor, Journal of Business Ethics | Member - Committee on Publication Ethics/International Society of Managing & Technical Editors/SSP Member
@rat-deco.bsky.social
back in the day you could just get into fights with Nobel laureates in the comments section of obscure forums ML research person 🚬🐀🌌
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@dingdingpeng.the100.ci
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
@luisagroher.bsky.social
Building ML systems at startups | Previously: economic development in MENA/LatAm | MA thesis on counternarcotics→counterterror evolution | Analyzing causality, geopolitics & tech
@kaicoop.bsky.social
PhD candidate @Wharton OID. Interests: causal inference, partial identification, fairness, discrimination
@jondr44.bsky.social
@nber.org
The National Bureau of Economic Research is dedicated to conducting and disseminating nonpartisan economic research. nber.org
@danilobzdok.bsky.social
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand human-defining brain circuits
@kevinzollman.com
Philosophy and Game Theory at Carnegie Mellon 🦚 Research the interface between philosophy, economics, and biology 💱 www.kevinzollman.com
@philippbach.bsky.social
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
@ang-yu.bsky.social
PhD Candidate in Sociology at UW-Madison. Studying causal inference. https://ang-yu.github.io/
@claudiashi.bsky.social
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.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
@mcuellar.bsky.social
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io
@vladislavmorozov.bsky.social
Assistant Professor of Econometrics at Uni Bonn Interested in econometrics and statistics for a heterogeneous world https://vladislav-morozov.github.io/
@bengolub.bsky.social
economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine
@nkgarg.bsky.social
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@ernestryu.bsky.social
Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.
@teorth.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@yyahn.bsky.social
Prof. at Indiana University Bloomington. Networks, data science, and machine learning. https://yongyeol.com 🚲🚲🚲
@helene-zgc.bsky.social
Interested in economics, mathematics, organisation studies, design theory...
@panzhao.bsky.social
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
@hjalmarcarlsen.bsky.social
Associate Professor, Center for Social Data Science(SODAS), University of Copenhagen. Background in sociology, substantive research in civic participation, methods research in mixed methods approaches to digital data.
@msalganik.bsky.social
Professor of Sociology, Princeton, www.princeton.edu/~mjs3 Author of Bit by Bit: Social Research in the Digital Age, bitbybitbook.com
@mcknaus.bsky.social
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning. Teaching material: https://github.com/MCKnaus/causalML-teaching Homepage: mcknaus.github.io
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@lucasgautheron.bsky.social
Collective cognition, computational social science. PhD candidate @ University of Wuppertal & RA @ École Normale Supérieure in Paris. Former publication director / data journalist @ Le Média. https://lucasgautheron.github.io.
@paperposterbot.bsky.social
posts updates from arXiv rss feeds for methodology papers in Statistics and Econometrics. Also maintains an arxiv and posts random papers from it. maintainer: @apoorvalal.com source code: https://github.com/apoorvalal/bsky_paperbot
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@smntc.bsky.social
Researcher & faculty member @DPKM dedicated to the field of AI, with the focus on knowledge technologies (knowledge graphs, semweb, RAG) & their use in e-gov, skills matching, research ecosystem, digital humanities and education. Partner @km-a.bsky.social.
@johnlist.bsky.social
I am an Economist leveraging the assignment mechanism in the field to test theory and help non-profits, govts, and anyone who will listen! My goal is to (hopefully!) change the world for the better. My picture is with my son who makes me so proud daily.
@gmcclendon.bsky.social
Political scientist; Associate Professor at New York University. Author of “Envy in Politics” and “From Pews to Politics.” Founder of Identities&Ideologies Project at NYU. https://sites.google.com/site/gwynethmcclendon/
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@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/