I’m a Data Scientist on the Equipment Intelligence team at Lam Research, where I help build tools to wrangle the absurdly large volumes of data generated by thin-film deposition equipment used in the manufacturing of cutting-edge logic and memory chips. Before I traded my cleanroom bunny suit for Python scripts, I was a Process Engineer working hands-on with Lam’s deposition systems—so yes, I’ve both tuned the knobs and trained the models. At Lam, we push the boundaries of semiconductor technology, one wafer (and terabyte) at a time.
I hold a Ph.D. in Chemistry from the University of Illinois at Urbana-Champaign where I worked with Prof. Shuming Nie, and a bachelor’s and master's degree in Chemistry and Materials Science from the Indian Institute of Science, Bangalore. Basically, I’ve been on a long-term mission to understand things most people can’t see.
Outside of work, I enjoy weightlifting, running, and getting overly ambitious with cooking projects that require twice the time and three times the dishes I initially planned for.