Research Interests
- Optimal Transport
-
Quantum Machine Learning
Education
- M.A. in Statistics (2018), Columbia University in the City of New York
- M.S. in Financial Engineering (2016), University of Illinois at Urbana-Champaign
- B.S. in Mathematics and Statistics (2015), University of Illinois at Urbana-Champaign
- B.S. in Finance (2015), University of Illinois at Urbana-Champaign
Awards and Honors
- 2023 Doctoral Student Teaching Award
Courses Taught
- Teaching Assistant:
- Spring 2025: STAT 420 (Methods of Applied Statistics)
- Spring 2024: STAT 107 (Data Science Discovery)
- Fall 2023: STAT 107 (Data Science Discovery)
- Spring 2023: STAT 430 (Unsupervised Learning)
- Fall 2022: STAT 542 (Statistical Learning)
- Spring 2022: STAT 428 (Statistical Computing)
- Fall 2021: STAT 428 (Statistical Computing)
- Summer 2021: STAT 200 (Statistical Analysis)
- Spring 2021: STAT 428 (Statistical Computing)
- Fall 2020: CS 598 (Practical Statistical Learning)
Recent Publications
- B. Zhang, P. Xu, X. Chen, and Q. Zhuang. (2025). Holographic Deep Thermalization. arXiv:2411.03587.
- B. Zhang, P. Xu, X. Chen, and Q. Zhuang. (2024). Generative Quantum Machine Learning via Denoising Diffusion Probabilistic Models. Physical Review Letters, 132, 100602. DOI: 10.1103/PhysRevLett.132.100602.