Ph.D. Computational and Mathematical Engineering, Stanford University
M.S. Computational and Mathematical Engineering, Stanford University
B.Sc. Applied Mathematics, Brown University
I completed my undergraduate degree at Brown University in Providence, Rhode Island.
One of my reasons for choosing Brown was its unique curriculum and educational philosophy. During my time at Brown I was able to obtain both bread and depth of study. My major (or "concentration" as we Brunonians call it) was in Applied Mathematics.
During my junior year, I spent the spring semester studying abroad in Scotland at the University of Edinburgh. Edinburgh was a great place to spend my semester abroad; the city is beautiful, walkable, and full of history. Edinburgh is often considered the birthplace of geology, so I was fortunate to take two courses in the university's School of Geosciences.
After a couple of years in the working world (read more about it here), I returned to academia.
I completed by graduate studies at Stanford University, earning my Ph.D. in Computational and Mathematical Engineering. I received funding from a Stanford Graduate Fellowship in Science and Engineering, which provides three years of funding for graduate study. As a part of the PhD program requirements, I also completed a Master of Science degree in Computational and Mathematical Engineering.
My Ph.D. research on applications of data mining and machine learning techniques in earthquake seismology was supervised by Greg Beroza.