Welcome!
I am a PhD graduate (summer 2025) in Mechanical and Aerospace Engineering at UC San Diego, with a specialization in Computational Sciences. I worked in Flow control and coordinated robotics lab under the guidance of Prof. Thomas R. Bewley. My research primarily focuses on adaptive observation—designing control algorithms that adaptively direct autonomous agents (such as UAVs or robots) as they interact (observe, search, or even put out wildfires...) with complex, uncertain environments. My work blends numerical simulation, stochastic dynamics, and optimization techniques to tackle real-world challenges.
Research interests:
Probabilistic search theory · PDE/ODE constrained optimal control · Ensemble-based adaptive observation · Stochastic dynamics and filtering · Numerical analysis and optimization · Surrogate-based derivative-free optimization
I'm actively looking for postdoc positions where I can design theoretical control algorithms to solve real-world problems.
Research spotlights
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Probabilistic Search for Randomly Moving Targets
Advancing and optimizing adaptive control strategies to rapidly locate randomly moving targets, whether non-evasive or evasive
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Chaotic system
Lorenz attractor: Particles' trajectories bifurcate despite nearly identical initial conditions.
Feel free to reach out if you are interested in any part of my work! Contact info please check below!