I believe in using data science to help people. From solving problems in health care to criminal justice to education, I've witnessed how data can be harnessed for real world impact.As a consultant, I've worked with multiple health care companies to improve patient care quality, employee job satisfaction, and operational efficiency. Initiatives I've designed have improved measurable patient outcomes, reduced employee turnover, increased reported job satisfaction, and reduced payroll errors.Previously at Recidiviz, a nonprofit started at Google, I used quantitative research (e.g. reduced-form causal inference) to identify the policies and practices that move the needle for reentry success among justice-involved individuals. My work informed the strategic direction of the organization and contributed to tools that will meaningfully reduce life years spent in the justice system while aiding reentry success.During my graduate studies at UCSD, I designed, conducted, and analyzed randomized controlled trials to estimate the causal effects of educational tools such as a "video textbook" fit for the modern classroom. I also examined how consumers' nutrition decisions change following the arrival and removal of beverage taxes and after receiving stimulus payments. As an instructor, I designed and led an undergraduate data analytics course for economics and political science majors covering best practices and the basics of Stata and R.When away from my computer, I'm probably swimming, biking, running, or otherwise savoring the outdoor delights that San Diego has to offer. I recently qualified for and attended the 2024 Paralympics in triathlon as a guide for two-time Paralympian Kyle Coon.You made it to the bottom - nice! Here's a data science joke for you:Did you see the movie about databases?Good news! They're coming out with a SQL.