Dylan Hirsch

Dylan Hirsch

PhD student in control theory

Publications

Pre-print / Submitted

  1. Dylan Hirsch*, William Sharpless* and Sylvia Herbert. Exact Decomposition of Adversarial Dual-Objective Value Functions, with Applications to Optimal Drug Dosing. Submitted to the 2026 IEEE 65th Conference on Decision and Control (CDC).
  2. Nikhil Shinde, Dylan Hirsch, Michael Yip, and Sylvia Herbert. Safe Stochastic Explorer: Enabling Safe Goal Driven Exploration in Stochastic Environments and Safe Interaction with Unknown Objects. Submitted to IEEE Transactions on Robotics.
  3. Haixin Jin, Nikhil Shinde, Soofiyan Atar, Hongzhan Yu, Dylan Hirsch, Sicun Gao, Michael Yip, Sylvia Herbert. Learning to Nudge: A Scalable Barrier Function Framework for Safe Robot Interaction in Dense Clutter. Pre-print: arXiv:2601.02686.

Published / Accepted

  1. Dylan Hirsch, William McEneaney, Jaime Fernández Fisac, Claire Tomlin, and Sylvia Herbert. An update to the Level Set Theorems in Hamilton-Jacobi reachability analysis. Accepted to IEEE Transactions on Automatic Control.
  2. Dylan Hirsch, Jaime Fernández Fisac and Sylvia Herbert. Viscosity CBFs: bridging the control barrier function and Hamilton-Jacobi reachability frameworks in safe control theory. Accepted to the 2026 American Control Conference.
  3. William Sharpless*, Oswin So*, Dylan Hirsch, Sylvia Herbert and Chuchu Fan. Bellman value decomposition for task logic in safe optimal control. Accepted to the 2026 Robotics: Science and Systems conference.
  4. William Sharpless*, Dylan Hirsch*, Sander Tonkens, Nikhil Shinde and Sylvia Herbert. Dual-objective reinforcement learning with novel Hamilton-Jacobi-Bellman formulations. Accepted to the 2026 International Conference on Learning Representations.
  5. Robert Bloom, Dylan Hirsch, Sylvia Herbert and Tania Morimoto. “Haptic Virtual Fixtures for Telemanipulation Using Control Barrier Functions”. IEEE Transactions on Haptics 19.1 (2026), pp. 119–135.
  6. Dylan Hirsch and Sylvia Herbert. Approximate Hamilton-Jacobi reachability analysis for a class of two-timescale systems, with application to biological models. 2025 IEEE 64th Conference on Decision and Control (CDC). 2025, pp. 7605–7610.
  7. Dylan Hirsch and Sylvia Herbert. Control of subpopulation fractions in a population of bistable cells. IEEE Control Systems Letters 9 (2025), pp. 2253–2258.
  8. Azra Begzadic, Nikhil Shinde, Sander Tonkens, Dylan Hirsch, Kaleb Ugalde, Michael Yip, Jorge Cortes and Sylvia Herbert. Back to base: towards hands-off learning via safe resets with reach-avoid safety filters. Proceedings of the 7th Annual Learning for Dynamics & Control Conference. Vol. 283. PMLR, 2025, pp. 1154–1166.
  9. Rachel Sparks*, Nicholas Rachmaninoff*, William W Lau*, Dylan C Hirsch*, Neha Bansal*, Andrew J Martins, Jinguo Chen, Candace C Liu, …, and John S Tsang. A unified metric of human immune health. In: Nature Medicine (2024).
  10. Dylan Hirsch, Theodore W Grunberg and Domitilla Del Vecchio. Error bound for Hill-function approximations in a class of stochastic transcriptional network models. In: Proceedings of the 62nd Conference on Decision and Control (CDC). 2023.
  11. Dylan Hirsch and Domitilla Del Vecchio. Differential equation model for the population-level dynamics of a toggle switch with growth-feedback. In: Proceedings of the 61st Conference on Decision and Control (CDC). 2022.
  12. Xiaoshan M Shao, Rohit Bhattacharya, Justin Huang, I K Ashok Sivakumar, Collin Tokheim, Lily Zheng, Dylan Hirsch, Benjamin Kaminow, …, and Rachel Karchin. High-throughput prediction of MHC class I and II neoantigens with MHCnuggets. In: Cancer Immunology Research (2020).