Zach Butzin-Dozier
Postdoctoral Researcher @Ctml - Center For Targeted Machine Learning And Causal Inference
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WORK HISTORY
Postdoctoral Researcher @Ctml - Center For Targeted Machine Learning And Causal Inference
I am a postdoctoral scholar in the Division of Biostatistics at the UC Berkeley School of Public Health working under Professors Alan Hubbard, Jack Colford, and Mark van der Laan. My work applies Targeted Machine Learning methodology to data from the National COVID Cohorts Collaborative (N3C) to evaluate protective interventions against Long COVID, including COVID-19 vaccination, selective serotonin reuptake inhibitors (SSRIs), metformin, and immune-modulating drugs. I led a research team that placed third in the NIH Long COVID Computational Challenge for building an ensemble machine learning model that predicted individual risk of Long COVID diagnosis.
EDUCATION
UC Berkeley School of Public Health
Doctor of Philosophy - PhD
Tufts University
Bachelor's degree
University of California, Berkeley
Master of Public Health - MPH
ABOUT ZACH BUTZIN-DOZIER
Epidemiology Postdoc | NIAID K01 Awardee
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