Hi! I'm the executive director of the Stanford Computational Policy Lab (SCPL). Previously, I was a computational social science PhD student at Stanford, and served as the director of analytics at the New York City Police Department. My work focuses on using technology and data science to support criminal justice reform.
Publications, projects, and press
With colleagues at SCPL, I helped design and implement a blind charging algorithm, now in use by the San Francisco District Attorney. Our tool automatically masks race-related information in incident narratives to reduce the influence of race on charging decisions. Our paper on the project was included in the 2021 Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
June 2019 / Updated July 2021
COVID-19 oriented reforms
In a Washington Post piece, I argued (with colleagues from SCPL) that the dramatic—but temporary, and patchwork—criminal justice reforms enacted in response to COVID-19 should be made permanent and expanded across the country.
Risk assessment instruments
I wrote a briefer on the potential advantages and drawbacks of risk assessment instruments in criminal justice settings for the Brookings Institute's "AI and Bias" series on fairness in AI.
I designed an algorithm for the NYPD that looked for crimes which were misclassified as felonies or misdemeanors. Likely misclassifications were sent to an internal team for auditing and correction. I presented my approach at NYU's Tyranny of the Algorithm? Predictive Analytics & Human Rights conference.