I work at the intersection of Control, Optimization and Machine Learning, with a focus on safety enforced decision-making in dynamical systems. Developing methods that integrate learning with formal guarantees to ensure constraint satisfaction and robust performance in uncertain, data-driven environments.

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Research Projects


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Learning Safe and Optimal Controllers for Autonomous Systems

The research project focuses on developing controllers which balances safety and performance of the autonomous system.
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Training Verified Neural Control Barrier Functions

The research project focuses on training neural networks to learn control barrier functions (CBFs) that are formally verified for safety in dynamic environments.
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Collision Cone Control Barrier Functions

A novel geometric approach to safe navigation in cluttered environments using control barrier functions (CBFs).


Invited Talks



Research Mentoring

I have had the fortune of working with and mentoring some fantastic student collaborators.

Ph.D. Students

Master’s Students

Bachelor’s Students


For more information on my research, please visit my Publications page.

Feel free to reach out if you are interested in collaborating or have any questions about my work.