Prof at UniMelb. I'm a computational cognitive scientist studying human inference, learning, information systems, culture, and (mis/dis)info. Nerd & opinionated loudmouth in Oz, originally from America, citizen of both. Parent of two. 🏳️⚧️ perfors.net
Clinical research methodology, placebo, blinding
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
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/
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
Machine learning researcher, working on causal inference and healthcare applications
Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment…
He/him
https://tpmorris.substack.com/
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
networks, contagion, causality
faculty at MIT
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
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 🐶🚴♀️🏔️🎗️
statistics & causal inference
biostatistician + biostatistics phd student at the university of washington. learning + writing about better ways to conduct research. #rstats, #dataviz, causal inference. she/her. blog: https://www.khstats.com/
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
professor of biostatistics at brown, professional skeptic, lover of cats and Star Trek
