Georgia Institute of Technology
Visiting Assistant Professor, School of Mathematics
- Mentor: Wei Zhu
Curriculum Vitae
Academic Appointments
Education
University of Wisconsin-Madison
Ph.D. in Mathematics
- Advisors: Qin Li and Leonardo Andrés Zepeda Núñez
- Honor: Mathematics Department Ascending Scholar Fellowship
University of California, Berkeley
Bachelor of Arts in Applied Mathematics & Computer Science
- Research advisor: Rainer K. Sachs
- Honors: High Honors in Applied Mathematics; Distinction in General Scholarship; Dean's Honors List
Publications
- Zhang, B., Li, Q., & Di, Z. W. (2025). MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval. SIAM Journal on Scientific Computing, accepted.
- Zhang, B., Guerra, M., Li, Q., & Zepeda-Núñez, L. (2025). Back-Projection Diffusion: Solving the wideband inverse scattering problem with diffusion models. Computer Methods in Applied Mechanics and Engineering, 443, 118036.
- Zhang, B., Zepeda-Núñez, L., & Li, Q. (2024). Solving the wide-band inverse scattering problem via equivariant neural networks. Journal of Computational and Applied Mathematics, 451, 116050.
- Huang, E. G., Wang, R.-Y., Xie, L., Chang, P., Yao, G., Zhang, B., Ham, D. W., Lin, Y., Blakely, E. A., & Sachs, R. K. (2020). Simulating galactic cosmic ray effects: Synergy modeling of murine tumor prevalence after exposure to two one-ion beams in rapid sequence. Life Sciences in Space Research, 25, 107-118.
Preprints
- Zhang, B., Deng, J., Jiang, Y., & Di, Z. W. (2025). Stochastic Multigrid Method for Blind Ptychographic Phase Retrieval. arXiv.
Selected Talks
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SIAM Conference on Mathematics of Data Science
Stochastic Multigrid Methods for Ptychographic Phase Retrieval
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SIAM Central States Section Annual Meeting
Efficient Symmetry-Driven Diffusion Models for Wideband Inverse Scattering
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Institute for Mathematical and Statistical Innovation
Efficient Symmetry-Driven Diffusion Models for Wideband Inverse Scattering (Lightning Talk)
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SIAM Conference on Applications of Dynamical Systems
Efficient Symmetry-Driven Diffusion Models for Wideband Inverse Scattering
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Copper Mountain Conference on Iterative and Multigrid Methods
Multigrid-based Stochastic Minimization for Ptychographic Phase Retrieval
Professional Service
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Co-organizer, minisymposium, SIAM Conference on Mathematics of Data Science
Model-Based and Data-Driven Methods for Inverse Problems and Imaging
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Reviewer, International Conference on Machine Learning
Research Experience
Givens Associate, MCS Division, Argonne National Laboratory
Supervisor: Dr. Zichao (Wendy) Di
- Proposed a stochastic multigrid method for blind ptychographic phase retrieval that employs a geometric-mean, phase-aligned joint object-probe update, with convergence guarantees.
- Designed, implemented, and benchmarked the algorithm in Python (NumPy/PyTorch).
Research Aide, MCS Division, Argonne National Laboratory
Supervisor: Dr. Zichao (Wendy) Di
- Proposed a stochastic multigrid, majorization-minimization framework for ptychographic phase retrieval.
- Delivered a comprehensive theoretical analysis of convergence.
- Designed, implemented, and benchmarked the algorithm in Python.
Teaching Experience
Georgia Institute of Technology
- Math 2550: Introduction to Multivariable Calculus, InstructorFall 2026
University of Wisconsin-Madison
- Math 718: Randomized Linear Algebra and Applications, TASpring 2026
- Math 340: Elementary Matrix and Linear Algebra, TAFall 2025
- Math 211: Calculus, Head TASpring 2025
- Math 112: College Algebra, InstructorFall 2023, Spring 2024, Fall 2024
- Math 234: Calculus: Functions of Several Variables, TASpring 2023
- Math 211: Calculus, TAFall 2022
- Math 521: Analysis I, TASummer 2022
- Math 222: Calculus and Analytic Geometry II, TASpring 2021
- Math 221: Calculus and Analytic Geometry I, TAFall 2020
Mentoring & Outreach
University of Wisconsin-Madison
- Graduate Peer MentorFall 2025
- Mentor, Directed Reading ProgramFall 2024, Spring 2025