Other

As a graduate student, I hope to make academia more transparent and accessible, particularly for those students belonging to underrepresented backgrounds. For this reason, I have shared my PhD application materials in addition to my NSF GRFP essays and reviews. Please do not copy any part of these statements; they are entirely my own. I would be happy to respond to any questions about applying for graduate school/fellowships via email.

In my free time, I enjoy collecting and reading math books! Here is a running list of my favorite books:

• Kreyszig, E. (1991). Introductory Functional Analysis with Applications (Vol. 17). John Wiley & Sons.
• Royden, H. L., & Fitzpatrick, P. (1968). Real Analysis (Vol. 2). New York: Macmillan.
• Shalev-Shwartz, S., & Ben-David, S. (2014). Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press.