My research applies cutting edge causal inference and machine learning techniques to study interventions to control, eliminate, or eradicate infectious diseases, including interventions to prevent malaria, diarrhea, soil-transmitted helminths, and influenza. I am the recipient of a K01 Career Development Award from the National Institute of Allergy and Infectious Diseases to estimate spillover effects of malaria eradication interventions in southern Africa (K01AI141616).


Recent Work

Science, uninterrupted: Will COVID-19 mark the end of scientific publishing as we know it?

Interview in Berkeley's Fiat Lux magazine

Substantial underestimation of SARS-CoV-2 infection in the United States due to incomplete testing and imperfect test accuracy

Manuscript in Nature Communications 11, 4507 (2020). https://doi.org/10.1038/s41467-020-18272-4

Blog post about the article here

Internal replication: another tool for the reproducibility toolkit

Berkeley Initiative for Transparency in the Social Sciences blog post