I’m currently a fifth-year PhD student in the Aerospace Controls Laboratory at MIT working with Jonathan How. I’m funded by the NSF GRFP and through the Draper Scholars program. I received my SM degree from MIT in 2023 (supervised by Kerri Cahoy) and an SB in Aerospace Engineering from MIT in 2021.
I will be defending my PhD on July 23, 2026. I’m on the job market! I’m looking for a research scientist position in the robotics or space industry. I’m especially interested in roles that focus on optimization, control, or motion planning.
My research focuses on safe motion planning under uncertainty for robotics and space applications. Specifically, my recent work focuses on improving the practical usability of belief roadmapping by improving roadmap accuracy, improving roadmap coverage, and by providing efficient methods to reduce the cost of belief-space trajectories. I develop new theoretical results on reachability in belief space, and leverage these new theoretical ideas to develop new and improved algorithms for belief-space planning. The goal of my work is to develop autonomous systems that are capable of safe real-time exploration and trajectory planning via belief-space planning.
Before starting my PhD, I studied on-orbit machine learning and underactuated control in the Space Telecommunications, Astronomy, and Radiation (STAR) Lab at MIT, supervised by Kerri Cahoy.
Recent News
June 2026: Our new preprint (with Christopher Jewison and Jonathan P. How), PRISM: Efficient and Locally Optimal Probabilistic Planning with Reachability Guarantees, is now available on arXiv.
May 2026: Nick’s paper (with me and Jonathan P. How) GUARDIAN: Safety Filtering for Systems with Perception Models Subject to Adversarial Attacks was published in IEEE Control Systems Letters.
December 2025: Annika’s paper (with Aneesa Sonawalla, me, and Jonathan P. How) GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM was published in IEEE Robotics and Automation Letters.
October 2025: Our new preprint (with Naman Aggarwal, Christopher Jewison, and Jonathan P. How), Efficient Probabilistic Planning with Maximum-Coverage Distributionally Robust Backward Reachable Trees, is now available on arXiv.