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
- Designed, programmed, implemented, and analyzed an online A/B experiment of novel incentives for behavioral modification with over 2000 participants using Amazon MTurk and Qualtrics. Wrote code in R to automate participant reimbursement process through MTurk API, as well as automated data pre-processing in Stata. Used chi-square tests in Stata to estimate treatment effects. My results led to adoption of novel tax policy in Norway.
- Leveraged behavioral economics to improve COVID-19 testing and vaccination rates, impacting policy at 6 health centers and benefitting over 100,000 patients.
- Published 7 scientific manuscripts in peer-reviewed journals, including the most highly cited paper on the experimental measurement of effort in The Journal of Economic Behavior and Organization.
- As Senior Economist at the Institute for Research and Education to Advance Community Health, contributed economic, statistical, and programming expertise to 8 key projects, directly contributing to the research efforts of over 30 scientists and over $4,000,000 in grant funding. Managed a team of 3 research assistants and mentored a postdoctoral research associate.
- Used machine learning (Lasso) to specify model assessing the relationship between COVID-19 infection and probability of job loss in complex survey dataset. Benchmarked findings against standard epidemiological models and made policy recommendations.
- Conducted program evaluation of a dietary intervention designed to overcome behavioral barriers to diet improvement. Identified treatment effects using multivariate ordinal logistic regression and generated a model of future costs and benefits. My analysis led to program adoption by Chickasaw Nation Medical Center.
- Conducted power analysis in Stata to aid in the design of large multi-site survey study with over 2000 participants.
- Prepared value proposition and cost-effectiveness analysis for a health-tech startup that was successful in acquiring a subsequent contract with a major health system.
- As an independent consultant, conducted neuromarketing studies for Ipsos and Facebook to identify neural and biological correlates of advertising engagement that led to adoption of new technologies including EEG and ECG.
Employment
· Research Assistant Professor Washington State University 2023-Current
· Postdoctoral Research Associate Washington State University 2020-2022
· Independent Consultant 2012-Current
· Lecturer and Teaching Assistant University of California San Diego 2015–2020
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
