🕵️♂️
inferring causes
Assistant Professor working in causal inference, computational epidemiology, and infectious diseases.
Lina Montoya
lmmontoya
Asst. Professor | UNC-Chapel Hill | School of Data Science & Society | Dept. of Biostatistics
University of North Carolina at Chapel Hill
Amber M. Hampton
AmberHampton
Environmental epidemiologist. Interested in mixture methods, omics research, and all things environmental.
Brown University Providence, RI
Rachael K. Ross
rachael-k-ross
Postdoc at Columbia Department of Epi. PhD in epidemiology from UNC.
Jacqueline Rudolph
jerudolph13
Assistant Scientist in the Dept. of Epidemiology at Johns Hopkins University Bloomberg School of Public Health
Baltimore, MD
Miguel Angel Luque Fernandez
migariane
BSc Maths and Stat, MSc Biostatistics & PhD Epidemiology. Working on Epidemiological methods, causal inference, and cancer epidemiology
University of Granada & London School of Hygiene and Tropical Medicine Granada, Spain & London, UK
Eleanor (Ellie) Murray
eleanormurray
Epidemiologist & causal inference methodologist. Topics: design and analysis of randomized trials; causal simulation models. Diseases: HIV, CVD, mental health
Boston University School of Public Health
Cameron Davidson-Pilon
CamDavidsonPilon
CEO of Pioreactor. Former Director of Data Science @Shopify.
Author of Bayesian Methods for Hackers and DataOrigami.
@Pioreactor Waterloo, Canada
Alex Keil
alexpkeil1
Environmental and occupational epidemiologist researching the data/policy interface and improving the science behind policy.
United States