I am an Assistant Professor in the Department of Applied Mathematics and Statistics at Colorado School of Mines. I am also an affiliated faculty in the Department of Computer Science. Prior to joining Mines, I was an Assistant Adjunct Professor in the Department of Mathematics at UCLA. I received my PhD in applied mathematics from Emory University in 2019. My research interests lie in the intersection of applied mathematics and data science. In particular, I am interested in inverse problems, optimization, optimal control, and deep learning. Daniel McKenzie and I have a joint research group: the Mines Optimization and Deep Learning group (MODL). We have a weekly seminar; feel free to email any of us for more for futher details on this.

Recent News

• 11/07/2025: Our paper On Logical Extrapolation for Mazes with Recurrent and Implicit Networks has been accepted by AAAI for an oral presentation. Thanks to Brandon Knutson for leading the effort, and to Amandin Chyba, Michael Ivanitskiy, Jordan Pettyjohn, Cecilia Diniz-Behn, and Daniel McKenzie for the collaboration.
• 11/03/2025: Our paper A Primal-Dual Price-Optimization Method for Computing Equilibrium Prices in Mean-Field Games Models has been accepted by the Dynamic Games and Applications. Thanks to Melissa Wang and Levon Nurbekyan for their collaboration.
• 10/27/2025: It was great participating at the Optimal Control and Decision Making Under Uncertainty for Digital Twins workshop at IMSI. Thanks to the organizers for the invitation.
• 10/25/2025: We’re hiring! The Department of Applied Mathematics and Statistics at the Colorado School of Mines is hiring up to 3 Postdoctoral Fellows to begin in August 2026. See job ad here.
• 10/22/2025: Our paper A hybrid SIAC – data-driven post-processing filter for discontinuities in solutions to numerical PDEs has been accepted by the Journal of Engineering Mathematics. Thanks to Soraya Terrab and Jennifer K. Ryan for their collaboration.
• 10/21/2025: Our paper maze-dataset: Maze Generation with Algorithmic Variety and Representational Flexibility has been published in the Journal of Open Source Software. Thanks to Michael Ivanitskiy, Aaron Sandoval, Alex Spies, Tilman Raüker, Brandon Knutson, and Cecilia Diniz-Behn for their collaboration.
• 10/01/2025: Our draft End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation is out. Thanks to Eric Gelphman, Deepanshu Verma, Nichola Yang, and Stanley Osher for the collaboration.
• 09/09/2025: Our draft A Monte Carlo Approach for Nonsmooth Convex Optimization via Proximal Splitting Algorithms is out. Thanks to Nicholas Di and Eric Chi for the collaboration.
• 06/04/2025: Our draft A Primal-Dual Price-Optimization Method for Computing Equilibrium Prices in Mean-Field Games Models is out. Thanks to Melissa Wang and Levon Nurbekyan for the collaboration.
• 06/02/2025: Our draft Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization is out. Thanks to Zhiwei Zhang, Anastasios Kyrillidis, Stanley Osher, and Moshe Vardi for the collaboration.
• 04/24/2025: Our paper Fast Partial Fourier Transforms for Large-Scale Ptychography has been accepted by Inverse Problems and Imaging. Thanks to Ricardo Parada and Stanley Osher for the collaboration.
• 02/28/2025: Our draft Recent Advances in Numerical Solutions for Hamilton-Jacobi PDEs is out. Thanks to Tingwei Meng, Siting Liu, and Stanley Osher for the collaboration.
• 02/25/2025: Our paper Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace’s Method has been accepted by JMLR. Thanks to Ryan Tibshirani, Howard Heaton, and Stanley Osher for the collaboration.
• 01/22/2025: Our works Kernel Expansions for High-Dimensional Mean-Field Control with Non-local Interactions and Mean-Field Control Barrier Functions: A Framework for Real-Time Swarm Control have been accepted by ACC 2025. Thanks to Alex Vidal and Levon Nurbekyan among others for their collaboration.