I am a Ph.D. student in Mechanical Engineering at the University of New Mexico, working in the Optimization and Estimation Lab. With a background in Computer Science, my research combines machine learning with control theory.

• Core Focus: I study reservoir computing, physics-informed machine learning, and Bayesian estimation.
• Methods: I develop algorithms to estimate system states and inputs, focusing on making them work reliably under uncertain or noisy conditions.
• Applications: I apply these techniques to practical problems, such as tracking autonomous vehicles and predicting battery health.

"AI is replacing amplifying human potential."