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/
@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
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@danielawitten.bsky.social
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
@julialang.org
Julia is a high-level, dynamic programming language built for technical computing. Official Bluesky account of the Julia Language Project #JuliaLang
@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
@alecmcclean.bsky.social
Postdoc @ NYU Grossman; stats / ML + causal inference https://alecmcclean.github.io/
@ianws.bsky.social
Postdoc @ UC Berkeley | statistics, probability, machine learning, privacy 🇨🇦 ianws.com
@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
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@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/
@ang-yu.bsky.social
PhD Candidate in Sociology at UW-Madison. Studying causal inference. https://ang-yu.github.io/
@herbps10.bsky.social
Post-doc at NYU Grossman School of Medicine (this account is solely in my personal capacity, all views are my own etc). Non-parametric statistics, causal inference, Bayesian methods. Herbsusmann.com
@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@gravitysra1nbow.bsky.social
Uphold Thucydidian-Clausewitzian-Hegelian-Fukuyamist thought. https://othermeans.substack.com/
@kbibbinsdomingo.bsky.social
Editor in Chief, JAMA & the JAMA Network @jama.com jama.com Professor of Epidemiology & Biostatistics and of Medicine, UCSF (https://profiles.ucsf.edu/kirsten.bibbins-domingo) scientist-physician-teacher views are my own
@gregsasso.bsky.social
Assistant Instructional Professor in Social Sciences - University of Chicago. Political Economy, Formal Theory, Research Design. gregsasso.me
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@omaclaren.bsky.social
I use mathematics, computation, statistics, & machine learning to help think about biology, engineering, & other things. University of Auckland, NZ. Research: http://tinyurl.com/ojmscholar, Teaching: https://tinyurl.com/ojmteaching
@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
@chelseaparlett.bsky.social
Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@profgrimmer.bsky.social
Assistant Professor @JohnsHopkinsAMS, Works in Mathematical Optimization, Mostly here to share pretty maths/3D prints, sometimes sharing my research
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@elenadata.bsky.social
CS Prof @ University of Illinois Chicago. Research in causal inference, machine learning, graph mining, privacy. www.cs.uic.edu/~elena
@coussens.bsky.social
Data science and health economics at Abett. Previously prof @Columbia.
@jonhuang.bsky.social
Epidemiology, Biostatistics, & Causal Inference for Health and Social Equity, Academic (but in the Good Way), Bringing Community Data to Communities, Dad, Motorcycle Enthusiast, R&B, Soul, Brass Band, Blues, Jazz, etc. jonhuang.org
@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 🐶🚴♀️🏔️🎗️
@mcuellar.bsky.social
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
@guilhermeduarte.bsky.social
PhD candidate (OID - @Wharton - @Penn). interests: causality, politics, ML duarteguilherme.github.io
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@drjwolfson.bsky.social
Professor, UMN Biostatistics & Health Data Science. Co-founder, Daynamica (www.daynamica.com). Canadian still pronouncing Z the right way, usually.
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@pwgtennant.bsky.social
Epidemiologist with an interest in causal inference methods at @universityofleeds.bsky.social. Check out my Intro to Causal Inference Course: https://www.causal.training/ #Epidemiology, #EpiSky, #CausalInference, #CausalSky, #AcademicSky
@gscollins.bsky.social
Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴♂️ TRIPOD+AI: tinyurl.com/2dsb9e75 EQUATOR Network: tinyurl.com/5dw4rcy5 Google scholar: tinyurl.com/ysv3zwek #prediction #machinelearning #AI #openscience #metascience
@sherrirose.bsky.social
Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account
@shengwuli.bsky.social
Econ prof at Harvard. (Mechanism design, market design, behavioral theory.) www.shengwu.li
@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@florianederer.bsky.social
Austrian 🇦🇹 Economist 📈 Not an Austrian Economist Allen & Kelli Questrom Professor BU Questrom, NBER, ECGI & NBER https://florianederer.github.io/
@shoshievass.bsky.social
IO economist + assistant prof at @StanfordGSB. I use theory + data to study how risk, commitment and information flows interplay with (good) policy design. shoshanavasserman.com
@bengolub.bsky.social
economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine
@diegoisworking.bsky.social
Assistant Professor at UCSF | CZ Biohub – SF Investigator https://diego-calderon-lab.github.io https://pharmacy.ucsf.edu/diego-calderon
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@statsepi.bsky.social
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #WBE #IDSurveillance Views mine -> https://statsepi.substack.com/