Research

Graduate Student Researcher

University of California, San Diego (2020 - present)

Developed a novel response adaptive algorithm for improving how fast an optimal treatment is identified
Developed Bayesian adaptive clinical trial design for finding an optimal treatment under multiple outcomes
Proposed new approach to analyze multivariate, observational data for N-of-1 designs using Bayesian Networks
Used functional data analysis to compare novel physical activity interventions for large clinical trial
Provided statistical consultation (modeling, design, power analysis, sample size calculation) to researchers for the Center for AIDS Research (CFAR)

Johnson & Johnson Innovative Medicine (June 2023 - Aug 2023)

Compared modern Bayesian basket trial designs (hierarchical model, Ex-Nex, MEM, etc) to assess benefits for future use at company. Quantified model robustness to misspecification using high-performance computer.
Developed extendable framework in R for others to compare new designs not originally considered in my project

Columbia University (Jan 2019 - Aug 2020)

Helped develop new recommendations for the number of observation days needed for physical activity endpoints (published)
Analyzed cohort data to study association between stroke and changes in physical activity and sedentary behavior (published)
Analyzed national survey data to study association between occupational standing and exertion on pain (published)