Jeremy Brown
Postdoctoral Research Fellow
@causalab.bsky.social
@hsph.harvard.edu
@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
@laurietomlinson.bsky.social
NIHR Research Professor | Epidemiologist | LSHTM | Drugs & Big-data | Drowning in neurospicy chaos | Trying to use data to make stuff better
@mlipsitch.bsky.social
Professor of Epidemiology Harvard Chan SPH, Director, @ccdd-hsph.bsky.social. Views my own.
@bauvinpierre.bsky.social
Data Scientist PhD 🔎 #liverdisease #obesity #preventivehealth Causality-passionate, walking the two worlds R & Python, biostats & ML
@jeremylabrecque.bsky.social
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk. jeremylabrecque.org
@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
@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
@lshtm-dash.bsky.social
Bringing together data science expertise across LSHTM to tackle the biggest global health problems.
@epilorenzofabbri.com
• Looking for postdoc in epidemiology! • CV: https://github.com/lorenzoFabbri/cv-quarto/blob/main/cv.pdf • Currently at ISGlobal, Barcelona. #EpiSky #CausalSky
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@sanders.senate.gov
Sen. Sanders of Vermont, Ranking Member of the U.S. Senate Committee on Health, Education, Labor & Pensions, is the longest-serving independent in congressional history.
@dvansanten.bsky.social
Research associate at CAUSALab, Harvard TH Chan School of Public Health
@rohinimathur.bsky.social
Professor and Chair of Health Data Science @qmul | Epidemiologist | Health inequalities | Cats
@wisewoman75.bsky.social
Professor of Epidemiology @BUSPH • Principal Investigator of @BUprestostudy • @Harvard @BowdoinCollege Alum • Working to improve reproductive & perinatal health
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
@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
@joy-shi.bsky.social
Assistant Professor @mgbresearch.bsky.social and @causalab.bsky.social. Interested in epidemiology, causal inference and pedagogy.
@robertwplatt.bsky.social
Prof @McGillU. Albert Boehringer I Chair. I'm here for talk about study design, good pizza, snow sports, cycling, soccer (#cfmtl and #fulhamfc), and work-life balance. Would rather be outside.
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@amsuffel.bsky.social
Epidemiologist and Postdoctoral Research Fellow at the London School of Hygiene and Tropical Medcine. Interested in electronic health records, vaccines, infectious diseases, mental health, statistics and open research. She/her
@rutendo-rm.bsky.social
Epidemiologist and Research Associate at Imperial College London working on sickle cell research. Previously at LSHTM
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@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/
@lmiratrix.bsky.social
Associate professor at the Harvard Graduate School of Education. Works on statistical methodology, causal inference, text as data, randomized experiments, and sometimes bad prose and poetry.
@mjtsmith.bsky.social
PhD - Medical Statistician 💊📈 All things Emulated Trials 🍎🍏 #causalsky #statsky #episky
@georgeeaton.bsky.social
Senior Editor (Politics), New Statesman https://www.newstatesman.com/author/george-eaton
@societyforepi.bsky.social
Established in 1968 to foster epidemiologic research, the Society for Epidemiologic Research is the oldest and largest general epidemiology society in North America.
@timpmorris.bsky.social
Principal research fellow in statistical methods. Work on simulation studies, non-inferiority, missing data, estimands, covariate adjustment… He/him https://tpmorris.substack.com/ https://profiles.ucl.ac.uk/2059
@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.
@anecdatally.bsky.social
Asst. prof of epidemiology at UNC Chapel Hill | training at HSPH, UiO, UMass Med, BUSPH | interests in rxepi, repro-perinatal epi, methods | she/her/dr
@tomayates.bsky.social
Epidemiology, infection https://profiles.ucl.ac.uk/37299-tom-yates/about
@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
@sophie-stats.bsky.social
Statistical consultant and educator | Translating data into meaningful insights | Co-founder of #RLadies Sheffield | Sharing R/stats resources and tips at https://scubed.rbind.io/ | #SpatialStats #RStats #StatsEd #RLadies
@rozeggo.bsky.social
Professor of Infectious Disease Dynamics. Epidemiology. Modelling. Respiratory viruses. Vaccination. Electronic Health Records. Health Inequalities. Comorbidities. Open Science. Big Data. Policy support. Science Communication. at LSHTM. Run IDDjobs.org
@alxsrobert.bsky.social
Assistant Professor in Infectious Diseases Dynamics @ London School of Hygiene and Tropical Medicine; work on all things measles, especially interested in elimination and eradication of pathogens