James Chapman

PhD Student
UCLA Mathematics Department
Los Angeles, CA, USA 90095-1555

Office	Mathematical Sciences 7601
E-Mail	chapman20j at math .ucla .edu

Photo courtesy of Reed Hutchinson PhotoGraphics

About Me

Hello! I am a third year PhD student in the math department at UCLA. I graduated with a BA and MA in mathematics from the University of Pennsylvania. My research interests are broadly in machine learning.

Teaching

Spring 2023: Math151b
Spring 2023: Pic10a
Winter 2023: Pic10b
Winter 2022: Pic10b (2 sections)
Fall 2021: PIC 10b (2 sections)
Spring 2021: PIC 10b
Winter 2021: PIC 10a
Fall 2020: PIC 10a

Publications

Chapman, J., Chen, B., Tan, Z., Calder, J., Miller, K., & Bertozzi, A. L. (2023, June). Novel batch active learning approach and its application on the synthetic aperture radar datasets. In Algorithms for Synthetic Aperture Radar Imagery XXX (Vol. 12520, pp. 96-111). SPIE. (SPIE Digital Library) (arXiv)
Chapman, J., Jang, J.W. & Strain, R.M. On the Determinant Problem for the Relativistic Boltzmann Equation. Commun. Math. Phys. 384, 1913-1943 (2021). (Springer open access)

Current Projects

Graph Based Active Learning
Reinforcement Learning
Neurodegenerative Disease Modeling