Hongli (Bob) Zhao
![prof_photo.png](/assets/img/prof_photo.png?ce4972c22ae25322518ed186cbd829d8)
Jones 307
5747 S Ellis Avenue, Chicago IL
Chicago, IL 60637
Hello! I am Bob, a third-year graduate student at Computational and Applied Mathematics at University of Chicago. I am happily advised by Prof. Mihai Anitescu, and work with many outstanding mentors and peers both in and outside of UChicago.
Previously, I graduated from UC Berkeley in Applied Math, and Data Science. During undergraduate studies, I was very fortunate to have worked with Prof. Daniel Tartakovsky and Prof. Lin Lin. I also participated in BeBOP, organized by Prof. James Demmel.
I am interested in scalable numerical methods and algorithm development for scientific computing, often involving physical models under randomness. I think about the following topics:
- Simulating rare events in complex system, such as cascading failures.
- Overcoming the curse of dimensionality in numerical PDEs and probabilistic inference, using low-complexity data structures.
- Connection of machine learning with optimal control.
Email: honglizhaobob [at] uchicago.edu
news
Jun 5, 2023 | Mathematical and Scientific Machine Learning at ICERM |
---|---|
May 15, 2023 | Portland, Oregon. Global Sensitivity Analysis in High Dimensional Parameter Spaces See program description here (link may expire). In this minisymposium, I discussed the problem setup of Sobol’ analysis via polynomial chaos expansion, its convergence properties, and the so-called curse of dimensionality. I then discussed how to perform regression descent in tensor-train format and compute the indices. |
Feb 14, 2023 | CTF Workshop at UW AI Institute in Dynamical Systems |
latest posts
Jan 1, 2024 | Nostalgic Problem Solving |
---|---|
Dec 13, 2023 | My Berkeley and Chicago class schedules |
Dec 13, 2023 | Approximating Gaussian Integrals |