About Me
I am currently a second-year PhD student in the Department of Statistics at Harvard University, where I will be graciously supported by the NSF Graduate Research Fellowship starting Fall 2024. I am broadly interested in the intersection of pure mathematics with statistical methods, such as free probability, random matrix theory, and theoretical machine learning. In June 2022, I completed my B.S. in Mathematics and Statistics at UCLA.
Outside of class, I am interested in lots of different things! I love playing the guitar & piano, cooking, shooting film photography, playing chess, learning languages, and more. My favorite artists are the Beatles, the Smiths, Pink Floyd, the Beach Boys, the Doors, Nick Drake, Eydie Gorme, Chopin, and Kourosh Yaghmaei.
I have been doing PhotoShop and graphic design for over a decade now, and I actually opened up a storefront with original mathematics and statistics t-shirts, so please give it a look!
Please feel free to reach out to me if you want to talk about mathematics or anything else above! :^)
Theorem of the Week, April 29-May 3, 2024
\[\sum_{n=1}^\infty\int_0^\pi \frac{n\sin(nx)}{e^n}\text{d}x = \frac{2e}{e^2-1}.\]Song of the Week, April 29-May 3, 2024
Harvest Moon: How did I not know this wonderful song came out in the 90’s!? Neil Young has such a good way of capturing old recording charm and noise, it’s amazing.
Teaching
• Stat 149: Introduction to Generalized Linear Models, Dr. Mark Glickman. Harvard University, Spring 2024.
• Stat 104: Introduction to Quantitative Methods for Economics, Dr. Kevin Rader. Harvard University, Fall 2023.
• Math 115A: Linear Algebra, Dr. Will Conley. UCLA, Winter 2022.
• Math 115A: Linear Algebra, Dr. Christy Hazel. UCLA, Spring 2021.
Publications
(2021) Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks.
Annan Yu, Chloe Becquey, Diana Halikias, Matthew Esmaili Mallory, Alex Townsend.