Skills
Data Analysis: Causal Inference (Regression Discontinuity, Instrumental Variables, Difference-in-Difference), Regression Analysis, Lasso, Structural Modeling, Predictive Modeling, K-means Clustering, Cost-Effectiveness Analysis.
Research Skills: Experimental Design, Project Management, Data Management, Online Experiments, Randomized Controlled Trials, Survey Design, Literature Reviews, A/B Testing.
Programming and software: Python, Stata, R, LaTeX, GitHub, Qualtrics, SAS, SQL, Excel, Amazon MTurk.
Experience
- As Senior Economist at the Institute for Research and Education to Advance Community Health, contributed project management, economic, statistical, and programming expertise to eight major federally funded projects, directly contributing to the research efforts of over thirty scientists and over $4,000,000 in grant funding. Managed a team of three research assistants and a postdoctoral research associate.
- Used double-selection Lasso, a causal-inference machine learning technique, to specify structural models estimating the relationships between COVID-19 and probability of job loss and subsequent food insecurity in complex survey dataset. Benchmarked findings against standard epidemiological models and made policy recommendations for changes to paid sick leave policies, with a scientific manuscript currently under peer review and selected by Association of Economics Research for Indigenous Peoples to present at world’s premier economics conference, the Allied Social Sciences Association meeting.
- Conducted cost-effectiveness analysis of a randomized controlled trial. Estimated treatment effects using multivariate ordinal logistic regression, generated a model of future costs and benefits, and calibrated the model with regression results. My analysis led to program adoption by the Chickasaw Nation Medical Center, a now widely adopted model for evaluating nutritional interventions, and a first-author manuscript published in Archives of Public Health.
- Leveraged behavioral economics to improve COVID-19 testing and vaccination rates by identifying barriers to healthcare seeking reported by patients but not identified by their providers, impacting policy at 6 health centers, and benefitting over 150,000 patients. Generated and evaluated statistical models identifying that living in multigenerational households is the dominant risk factor for infection among Native Americans, with a revise-and-resubmit at International Journal of Social Determinants of Health and Health Services.
- Led the design of a large, complex, multi-site repeated cross-sectional survey distributed to over 2000 patients and eighty healthcare providers. Conducted power analysis to set sample size and wrote all survey materials related to economics and mental health.
- Led the collection and analysis of over 150,000 electronic health records from six health systems across the country to improve COVID-19 testing and vaccination. Created and managed process for anonymous and HIPAA compliant data sharing across diverse health record systems. Cleaned and processed all data allowing for aggregate analysis despite the different electronic health record systems used by each site.
- Published three papers as lead economist on the economics and policy context of food insecurity in Native American populations.
- Conducted an economic analysis, published in Health Services Research and Managerial Epidemiology, of home blood pressure monitoring technology. I identified asymmetric costs associated with different error types which led to the finding that increased accuracy could counter-intuitively harm patient health, with important implications for medical device manufacturing and regulation.
- Received a highly competitive award to be a full lecturer for a course titled Global Business Strategy as a graduate student. Instructed seventy-two students and was recommended by 95% of them in course reviews.
- Teaching assistant for 8 MBA courses including Managerial Economics, Project Management, Strategy, Negotiation, and Experiments in Firms. Gave lectures on course material, held office hours, and led review sessions.
- Led annual workshops for MBA students in best practices for designing, conducting, and analyzing behavioral and online experiments using Qualtrics and Amazon MTurk. Taught this workshop to over 400 students.
- Designed, programmed, implemented, and analyzed an online A/B experiment using Amazon MTurk and Qualtrics on novel incentives for behavioral modification with over 2000 participants. Wrote code to automate participant reimbursement process in R, as well as automated data cleaning in Stata. Used chi-square tests and modified difference-in-differences in Stata to estimate treatment effects. Presented this research to the Norwegian Tax Authority and influenced policy.
- Published the leading paper on experimental methods for measuring effort in economics research, with over 150 citations.
- First author and lead experimentalist on research published in Nature Scientific Reports examining the effects of exogenous testosterone on men’s honesty.
- Lead analyst on two publications examining medical student specialty choice. Defined scientific questions and conducted analyses with multivariate logistic regressions.
- Lab manager at the Rady Incentives Laboratory where I conducted over twenty behavioral experiments over 2 years. Trained six research assistants, managed a participant pool and recruiting for over 5,000 participants, managed laboratory logistics, and programmed experiments.
Education
University of California San Diego, San Diego, California. 2015–2020
PhD in Management, Dissertation: Essays in Behavioral Economics
Pomona College, Claremont, California. 2010–2014
BA in Economics, Minor in Asian Studies
