Dylan is a Graduate Student at NYU Courant, advised by Jonathan Niles-Weed. At NYU, Dylan studies discrete probability. His recent research interest has been in understanding the average-case hardness of random optimization problems. In particular, he has recently been studying combinatorial discrepancy theory (sometimes called the "symmetrized" binary perceptron model).
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Graduate Student.