Public Health Analytics and Modeling Track

Provided statistical expertise, guidance, and troubleshooting to students, researchers, and faculty for projects covering study design, implementing machine learning algorithms, data visualization, complex survey analysis, and more

Used causal inference methods to assess COVID-19 vaccine effectiveness under time varying confounding, in collaboration with CT DPH and Professor Forrest CrawfordDeveloped novel inverse propensity weighting methods for causal inference in settings of heterogeneous partial interference in collaboration with Professors Laura Forastiere and Georgia PapadogeorgouConducted literature review of human mobility data and COVID-19 and analyzed cell phone derived mobility metrics for… Show more Used causal inference methods to assess COVID-19 vaccine effectiveness under time varying confounding, in collaboration with CT DPH and Professor Forrest CrawfordDeveloped novel inverse propensity weighting methods for causal inference in settings of heterogeneous partial interference in collaboration with Professors Laura Forastiere and Georgia PapadogeorgouConducted literature review of human mobility data and COVID-19 and analyzed cell phone derived mobility metrics for comparison to novel close contact metric for published paper in Science Advances in collaboration with Professor Forrest Crawford Show less

Used electronic health record data to study trends in testing for nontuberculous mycobacterial disease, published findings as first author in Emerging Infectious DiseasesLearned stochastic and deterministic methodologies for modeling infectious disease outbreaks

Employed supervised learning methodologies for large datasets in Python and R (with dimensions of ~1mm obs * ~250 vars)Forecasted demand metrics using time series and machine learning regression in RImproved team workflow by automating key quality control processes using RCreated client-ready data visualizations in Tableau and presented quantitative findings to technical and non-technical audiences

Wrote R scripts for archaeological research questions in social network and pottery distribution analysisAwarded College Research Scholar grant to excavate archaeological site Tel Keisan in summer 2018

Wrote Honors Thesis studying gene-environment interactions in arsenic-exposed Bangladeshis Wrote and published paper on the association between telomere length and mortality in Aging Have used methods including Mendelian Randomization, simulations, logistic and beta regression, and factor analysis to analyze case-control cohorts with sample sizes ~ 5000 in R and Stata

Graded homework assignments for Stat 224: Regression, an introductory regression course taken by undergraduates and public health graduate students

Worked in the Health and Public Service Industry groupConducted market research and competitor analysis on trends for health insurance products Calculated and analyzed client performance metrics to identify pain points and potential solutions, created visualizations of resulting dataCollaborated with team to create presentations for executive level clients

Provided academic and moral support to pre-college students from first generation backgroundsHeld weekly office hours to teach R and basic statistical techniques, graded homework and exams