Data AnalysisCausal Inference (Regression Discontinuity, Instrumental Variables, Difference-in-Difference), Regression Analysis, Lasso, Structural Modeling, Predictive Modeling, K-means Clustering, Cost-Effectiveness Analysis.

Research SkillsExperimental Design, Project Management, Data Management, Online Experiments, Randomized Controlled Trials, Survey Design, Literature Reviews, A/B Testing.

Programming and softwarePython, Stata, R, LaTeX, GitHub, Qualtrics, SAS, SQL, Excel, Amazon MTurk.



  • 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.



·        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


·        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