Dylan Hirsch
Email: dhirsch (at) ucsd.edu
Dylan is a Ph.D. student in Mechanical and Aerospace Engineering at UCSD. He is interested in developing methods for safe control and reduced-order modeling, with applications in cyber-physical and biological systems.
He received his B.S. in Biomedical Engineering from Johns Hopkins University and his S.M. in Biological Engineering from MIT. Through his master's research, he became excited about systems and control theory, inspiring his transition across fields.
In his free time, Dylan enjoys running, hiking, and watching movies.
Selected Projects
Reduced order modeling for differential games: Decomposing “fast” and “slow” dynamics for scalable computation of high-dimensional nonlinear systems, e.g. large-scale biological systems
Non-anticipative strategies in differential games: An analysis of how different strategies affect guarantees in Hamilton-Jacobi reachability analysis
Related Papers
Begzadić, Azra Nikhil Uday Shinde, Sander Tonkens, Dylan Hirsch, Kaleb Ugalde, Michael C Yip, Jorge Cortés, and Sylvia Herbert. “Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters.” Learning for Dynamics and Control (L4DC), 2025.
Rachel Sparks et al., "A unified metric of human immune health", Nature Medicine, 2024.
Dylan Hirsch, Theodore W. Grunberg and Domitilla Del Vecchio, "Error Bound for Hill-Function Approximations in a Class of Stochastic Transcriptional Network Models", Proceedings of the IEEE Conference on Decision and Control (CDC), 2023.
Dylan Hirsch and Domitilla Del Vecchio, "Differential Equation Model for the Population-Level Dynamics of a Toggle Switch with Growth-Feedback", Proceedings of the IEEE Conference on Decision and Control (CDC), 2022.
Xiaoshan M. Shao, et al., "High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets", Cancer immunology research, 2022.