Alejandro Schuler
Assistant Professor of Biostatistics UC Berkeley
semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice
Modern Causal Inference Book: alejandroschuler.github.io/mci/
@robertpicardo.bsky.social
Actor, collectible, Planetary Society Board Member and AI since the 90s .
@philippbach.bsky.social
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
@ehudk.bsky.social
Causal Inference 🔴→🟠←🟡. Machine Learning 🤖🎓. Data Communication 📈. Healthcare ⚕️. Creator of 𝙲𝚊𝚞𝚜𝚊𝚕𝚕𝚒𝚋: https://github.com/IBM/causallib Website: https://ehud.co
@valstacey.bsky.social
@casualinfer.bsky.social
Casual Inference Podcast. Hosted by @LucyStats.bsky.social & @EpiEllie.bsky.social | Partnered with The American Journal of Epidemiology | Casual chats about epi & stats. Episodes every other week!
@rohitv.bsky.social
Evolutionary Biology | Healthcare Analytics | Carnatic Music @UCSF | past @Stanford https://rohit43.github.io/
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@kaitlynlee.bsky.social
@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
@seamlessbayareaca.bsky.social
Working towards a unified, world-class transit network in the San Francisco Bay Area. https://linktr.ee/seamlessbayarea
@bart.gov
This is the official account for BART. We provide train service throughout the San Francisco Bay Area and connect people to places they love. For automated service updates go to @alerts.bart.gov Visit us at bart.gov 🚇💙
@lakens.bsky.social
Metascience, statistics, psychology, philosophy of science. Eindhoven University of Technology, The Netherlands. Omnia probate.
@christianedidden.bsky.social
PhD student at LMU Munich, sociology department. Interested in causal inference, social inequality, and mental health. Also a historian and applied statistician.
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.
@scottwiener.bsky.social
CA State Senator, representing San Francisco & northern San Mateo County. Chair, Senate Budget Committee. Passionate about health care, climate, making it easier/faster to build good things like housing, transit, clean energy. Democrat 🏳️🌈✡️🎗️scottwiener.com
@laracrc.bsky.social
Editor for #Statistics, #RStats and #DataScience books at Chapman & Hall/CRC Press. The usual caveats apply, views are my own. https://www.routledge.com/statistics
@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
@jlrohmann.bsky.social
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform @ Charité in #Berlin Likes: improving science & improv comedy #EpiSky #Epidemiology #HigherEd #AcademicSky
@nickwillyamz.bsky.social
Senior Data Analyst at Columbia University Epidemiology // Incoming Biostatistics PhD student at UC Berkeley
@santiagokique.bsky.social
Vnzln 🇻🇪MD/PhD candidate @ Stanford 🌲 I study telomere biology in health and disease; I write about science and politics blogs @ primafacie.substack.com
@gracelavery.bsky.social
❤️🩹🥝🩺🧨🫀 tr*nny dianny / / / surplus scholar 📚🎥🛍🪗🧻 ** QUAINT, EXQUISITE (Princeton UP, 2019); PLEASE MISS (Seal, 2022); PLEASURE AND EFFICACY (Princeton UP, 2023). Repped by Kent Wolf at Neon Literary. **
@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
@ucjointcph.bsky.social
CPH is pioneering a new discipline joining the power of AI, clinical/public health excellence, and equity. A joint program bridging UC Berkeley and UCSF.
@uofcalifornia.bsky.social
Official account of the University of California system. 10 campuses, 6 academic health centers, 3 national laboratories and a network of agricultural and natural research centers. And 71 Nobel Prizes, not that we're counting.
@aoc.bsky.social
Waitress turned Congresswoman for the Bronx and Queens. Grassroots elected, small-dollar supported. A better world is possible. ocasiocortez.com
@berkeleypublichlth.bsky.social
@missionlocal.org
Independent, nonprofit news for San Francisco. Sign up for our newsletter: https://missionlocal.org/subscribe-to-the-mission-local-newsletter/ Donate to keep us writing: https://missionlocal.org/support-our-publication/
@carlbergstrom.com
UW biology prof. I study how information flows in biology, science, and society. Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b LLM course: https://thebullshitmachines.com Corvids: https://tinyurl.com/mr2n5ymk I don't like fascists. he/him
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@matthewbjane.bsky.social
PhD student | Quantitative Psychology, UConn | Applied Statistics & Meta-Analysis | Methodological reviewer at Psychological Bulletin | Advisor: Blair T. Johnson | matthewbjane.com
@ecpolley.bsky.social
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
@tidierjl.bsky.social
Tidier.jl is a data analysis package inspired by R's tidyverse and crafted specifically for Julia. https://tidierorg.github.io/Tidier.jl/dev/
@jacobwswallace.bsky.social
Associate Professor @ Yale SPH and Sixers fan. Health economist whose research is focused on the Medicaid program.
@topepo.bsky.social
Writing modeling packages at @posit.co (née RStudio). Opinions are my own. https://max-kuhn.org/
@avifeller.bsky.social
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@kalealex.bsky.social
Assistant Prof of Computer Science and Data Science at UChicago. Research on visualization, HCI, statistics, data cognition. Moonlighting as a musician 🎺 https://people.cs.uchicago.edu/~kalea/
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@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
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@bonv.bsky.social
Assistant Professor in the Department of Statistics at Rutgers He/him 🏳️🌈
@nshejazi.bsky.social
assistant professor of biostatistics at harvard — causal inference, machine learning, and semi-parametric estimation, mostly for questions in infectious disease science and climate change avid runner, concertgoer, timezone hopper https://nimahejazi.org
@mcarone.bsky.social
Professor of Biostatistics, University of Washington School of Public Health. Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division. Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science. 🇨🇦🇮🇹🇦🇲