Data scientist and economist passionate about tech and the intersection of business and policy. Expertise in causal inference, experimentation techniques, and predictive modeling.
Check out my blog on Substack where I talk data science and pro cycling.
Professional Experience
Uber
Staff Applied Scientist, Policy and Economics (2019 - Present)
Working in a cross-functional role under the chief economist, I focus on earner regulation and research. Key achievements include:
- Leading external-facing research projects, including blog posts and collaborations with academic economists
- Building predictive models to assess business impacts of regulatory changes
- Leading analysis for major negotiations
- Conducting research on the business impacts of reg
- Designing and analyzing experiments for regulatory compliance
- Developing data pipelines and dashboards used by business leaders for earnings analysis
Previous Roles
- Research Assistant at George Mason University (2018) - Contributed to research on price trends with Alex Tabarrok and Eric Helland
- Junior Economist at New Zealand Labour Party (2017) - Helped develop economic policy, including Labour’s 2017 budget proposal
Publications
- The Impact of Seattle’s Driver and Courier Pay Regulations
- Assessing the impact of courier reclassification in Geneva 1 year on: restaurant demand and work opportunities fail to recover
- Does Media Coverage of Sexual Assault Cases Cause Victims to Go to the Police? Evidence from FBI Data and Google Trends
Education
Duke University (2015 - 2019)
B.A. Economics with High Distinction
Robertson Scholar