I'm an epidemiologist at the UMN's Division of Epidemiology and Community Health. I like rabbits. I like iced tea. I also like plots that involve time travel. On Twitter and elsewhere I'm rwidome too. More on me: https://widome.carrd.co/
Genetic epidemiology postdoc @stanford.edu
Fourth year PhD student at UMN biostats
Machine learning research scientist @ NIMH interested in statistics, optimization, ML, neuroscience, Brazilian jiu-jitsu, cats.
Social Epidemiologist
Research: structural racism, policy, life course
WNBA fan. 4th Gen Japanese American and WOC. She/her.
đź“ŤMinneapolis
We are home to PBS News Hour (ranked the most credible and objective TV news show), PBS News Weekend and @washingtonweekpbs.bsky.social.
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Dad, husband, host @Marketplace. IPAs. Soccer referee, trail runner, mountain biker. Veteran. kryssdal@marketplace.org
Chief Technology Officer FL97, Inc. - Professor @ Harvard
Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
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
Biostatistician. Baritone. He/Him.
Product of more than one country.
May contain nuts.
Biostatistician • Associate Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
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
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report
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/
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
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/
