Hi! I'm currently a Member of Technical Staff at OpenAI. I recently graduated from the Computer Science Ph.D. program at Stanford University, where I was advised by Sebastian Thrun and Chris Piech. I am grateful to have been supported by a Thomas C. Nelson Stanford Interdisciplinary Graduate Fellowship (SIGF), a J.P. Morgan AI Research Ph.D. Fellowship, a Stanford Data Science Scholarship, and multiple Oak Ridge Institute for Science and Education (ORISE) Fellowships during my Ph.D.
I had an unconventional path to the Ph.D. program in that I worked for 4 years in between my undergraduate and graduate studies. I have an eclectic career spanning particle physics, quantum computation, finance, cybersecurity, virtual and augmented reality, artificial intelligence, machine learning, and healthcare -- largely because I love learning new things about math, physics, statistics, and computer science!
For a more formal biography, check out my biography.
I focused primarily on artificial intelligence and machine learning methods, with an emphasis on statistical machine learning and accelerating widely-used algorithms with adaptive sampling. I also completed the M.S. degree during the Ph.D.
I double majored in Mathematics and Physics and graduated in the top 5% of my class (top 15 students), with Honors. I was even ranked 3rd for most of my time there!
While I loved Columbia and living in NYC, I transferred to Caltech after my freshman year.