E-mail me at firstname.lastname@example.org.
2017-: Quantitative Researcher, Two Sigma, New York, NY
2013-2016: Fellow, NDSEG, US Dept. of Defense
Summer’16: Data Science Intern, Twitter, Cambridge, MA
2008-2012: Pell Grant, Federal Student Aid, US Dept. of Education
Summer’11: Strategies Summer Analyst, Goldman Sachs, New York, NY
During my Ph.D., I did research on applied probability, rare events, and connections to statistics and optimization. I was very fortunate to be advised by Kavita Ramanan.
[Work in progress] (w/ K. Ramanan)
Problems at the Interface of Probability and Convex Geometry: Random Projections and Constrained Processes Ph.D. Thesis, May 2017.
- 2014-2017, Math CoOp
- Some of us recently participated in the STEAM Week at the Jewish Community Day School of Rhode Island.
- 2014-2016, ALANA Mentoring Program, Brown Center for Students of Color
- I recommend reading An Invisible Minority: Asian Americans in Mathematics, written by Sharad Goel and published in the Notices of the American Mathematical Society.
- 2014-2015, Co-organizer of Graduate Student Seminar in Applied Mathematics
- 2014, Assistant Instructor
- APMA 1200: Operations Research, Probabilistic Models, Spring 2014.
- APMA 1650: Statistical Inference, Fall 2014.
- During this time, I compiled a list of homework tips that might be useful for students.
- 2013-2014, Reflective Teaching seminar, Sheridan Center for Teaching and Learning
I am broadly interested in applicable mathematics — i.e., theory that can reveal new aspects of the world around us. The following (somewhat conflicting) viewpoints summarize my own perspective:
“I regard as quite useless the reading of large treatises of pure analysis: too large a number of methods pass at once before the eyes. It is in the works of applications that one must study them; one judges their ability there and one apprises the manner of making use of them.”
— J.-L. Lagrange
“Practical application is found by not looking for it, and one can say that the whole progress of civilization rests on that principle.”
— J. Hadamard