I run a small startup and a data science consulting agency in the Bay area. Daily, I interact with startups, Fortune 500 companies, and various academic institutions across the U.S. In my spare time, I try to contribute to open-source projects.

In my previous life, I was a visiting assistant professor and graduate student instructor in the Department of Statistics at the University of Illinois Urbana-Champaign and an adjunct lecturer at Stanford University. Research-wise, I primarily focused on state-space modeling and psychometrics that often necessitates integrating compiled code routines with R and working with high performance computing (HPC) cluster systems that have led to a few awards. On the teaching side, I was interested in data science pedagogy and figuring out innovative ways to incorporate industry data science techniques in academic settings that led me to create new technologies and courses.

Sponsorships allow me to work on problems that require additional software, hardware, knowledge guides, or copious amounts of caffeine to solve.