Jingru Zhang
Doctoral student, Quantitative Methods in Educational Psychology at UW-Madison | Grounding brisks to explain our gaze skyward.
@datavisfriendly.bsky.social
ASA Fellow; #rstats developer of graphical methods for categorical and multivariate data; #datavis history of data visualization; #historicaldatavis; Milestones project Web: www.datavis.ca GitHub: github.com/friendly
@marielza.bsky.social
Retired UNESCO Dir for Digital Inclusion, Policies & Transformation. Chair, UN University, eGov Institute. UNESCO Women in STEM Committee Some pottery and cyanotyping Profile picture is of my face and torso Banner is a picture I took of a light garden
@joshpasek.com
Prof of Comm & Media and Polisci @Umich studying how people get and use political information and social measurement. Skills/competencies: data sci, DIY solar, election analytics, carpooling, #polcom, #polpsych, survey methods, AI (views are my own)
@leonievogelsmeier.bsky.social
Assistant Professor improving (assessment of) measurement in intensive longitudinal data Department of Methodology and Statistics, Tilburg University, The Netherlands Ambassador for the Tilburg Experience Sampling Center: https://experiencesampling.nl/
@nathanielforde.bsky.social
https://nathanielf.github.io/ Statistics, Probability previously Logic and Philosophy
@mtamborrino.bsky.social
Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@omidvebrahimi.bsky.social
Research Fellow | University of Oxford | Magdalen College. Clinical Psychologist | Public Health | Statistics. I study how people transition into and recover from mental disorders.
@guilhermeduarte.bsky.social
PhD candidate (OID - @Wharton - @Penn). interests: causality, politics, ML duarteguilherme.github.io
@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
@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/
@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
@p-hunermund.com
Professor of Technology and Economic Policy | Co-founder of causalscience.org | Associate Editor at Journal of Causal Inference | Executive Team at Academy of Management TIM Division
@vincentab.bsky.social
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.” http://arelbundock.com
@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
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.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
@stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
@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/
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@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.
@linstonwin.bsky.social
senior lecturer in statistics, penn NYC & Philadelphia https://www.stat.berkeley.edu/~winston
@mollyow.bsky.social
Assistant Professor of Political Science | University of Chicago
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@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
@malcolmbarrett.malco.io
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
@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
@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
@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.