I am currently the Director of Data Science at the Los Angeles Times. I lead a team responsible for AB test analysis, content recommendation models and propensity modeling. We serve stakeholders across Product, Marketing, and Editorial. You can read more about my role. One of my most rewarding and impactful experiences has been to build out our AB test reporting infrastructure from scratch, from metric ingestion to final analysis. I love the statistical problems contained within experimentation and causal inference.

Previously, I was a Postdoctoral Scholar at the UC Davis DataLab. I supported research throughout the university and provided data science training for students and faculty. I consulted on wide-ranging projects, including a study of software citation practices in geodynamics publications; automated detection of prices in wine sales catalogs using optical character recognition; and prediction of bloodstream infection in burn victims. I also led workshops and organized community events.

I am an Editorial Board Member of the Journal of Statistical Software, with editorial responsibility for papers on network software. I previously served the journal for two years as the Assitant Editor. The journal is entirely open-access - free to read, free to publish, with reproducible code for all articles.

I worked as a Research Statistician for the Economic Roundtable, where I analyzed public data on people experiencing homelessness in Los Angeles. I developed a model to estimate the number of people who experience homelessness in an entire year based on available point-in-time data. For a partner organization in Santa Clara Country I built the model behind a triage tool to identify individuals most in need of permanent suppotive housing. Working with DataKind, I organized a hackathon to build interactive visualizations of data on homelessness.

For two summers I mentored teams of undergraduates in the Research in Industrial Projects for Students (RIPS) program at UCLA's Intstitute of Pure and Applied Mathematics (IPAM). I advised one project on restaurant recommender systems sponsored by Google, and one on distributions of DNA substrings sponsored by Arete Associates.

As a statistics PhD student at UCLA, I was a Teaching Assistant and Special Reader for many courses including Applied Regression, Matrix Algebra and Optimization, and Introduction to Design and Analysis of Experiments.