I am currently a Postdoctoral Scholar at the DataLab at UC Davis (formerly Data Science Initiative). I provide data science support for applied research throughout the university, and data science training for students and faculty. I consult on wide-ranging projects, for a study of software citation practices in geodynamics publications to automatic detection of data in wine sales catalogs using optical character recognition, and prediction of bloodstream infection in burn victims. I lead coding workshops and help to organize community data events.

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 thet statistical model for 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.

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

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 PhD student, I was a Teaching Assistant and Special Reader for many courses while at UCLA. Courses I TA'd include Stat 402 (Applied Regression), Stat 100 (Introduction to Probability Theory), and Stat 101B (Introduction to Design and Analysis of Experiments).