My research interests primarily lie within the field of computer architecture. The ongoing research activities in my group (for our latest updates, please refer to my scholar profile) can be summarized by the following questions:
How can we reimagine logic abstractions and microarchitecture to overcome technology limitations and scaling slowdowns (e.g., in superconductor electronics, flexible electronics, and quantum computing)?
How can biological systems inspire computing constructs that leverage existing mathematics and hardware for scalable, continuous learning (e.g., in electronic imaging, sensor processing, and robotics)?
How can we bridge the semantic gap between computation and verification to improve turnaround times, formally guarantee correctness, and enhance security features?
Before joining the University of Wisconsin-Madison, I was an Assistant Professor of Computer Science and Engineering, with a courtesy appointment in Applied Physics, at the University of Michigan (2022–2025). Prior to that, I earned my Ph.D. in Computer Science from UC Santa Barbara. My dissertation focused on the development, formalization, and deployment of a neuro-inspired temporal paradigm for in-sensor processing and superconducting computing, for which I received the ACM SIGARCH & IEEE CS TCCA Outstanding Dissertation Award in 2023.