Ayush Pandey is an assistant professor of teaching in electrical engineering at UC Merced. He is interested in research on control theory and artificial intelligence for the formal design of physical systems. Over the past few years, his research has focused on the development of robustness metrics, safety guarantees, and new inference tools for nonlinear dynamical systems in various application areas. As lead PI, he received a CITRIS Seed Grant award in 2024 to advance research on safety guarantees for large language models in safety-critical aviation applications. He is also actively extending his research on computational modeling to build open-source educational tools that make classroom learning more interactive, engaging and student-centered.
In 2023, Pandey received his Ph.D. in control and dynamical systems from the California Institute of Technology. His dissertation presents a new modeling framework for modular and scalable design of synthetic biological circuits. In 2019, he graduated with a master’s degree in electrical engineering at Caltech. Before that, in 2017, he graduated with a bachelors and a masters degree from the electrical engineering department at the Indian Institute of Technoloy (IIT) in Kharagpur, India.
Research interests: control theory, artificial intelligence, computational biology, formal verification.