Hello! I am an electrical and computer engineering researcher currently living and working in Ann Arbor, MI, USA, as a PhD Student at the University of Michigan.
My research focuses on physics-inspired hardware acceleration for NP-complete problems, developing novel mixed-signal architectures that achieve unprecedented performance in combinatorial optimization. I design specialized processing units that directly map optimization problems to hardware, leveraging continuous-time dynamics and massive parallelism to solve problems that are intractable for conventional von Neumann computers. My recent work includes Daedalus, a physics-inspired 3-SAT solver achieving 31.7μs solution time with 100% solvability, Medusa, a scalable k-SAT solver with 4x performance improvement over state-of-the-art, and Neptune, a 64-element digital beamforming system with tileable chiplet architecture. These systems demonstrate how physics-inspired computing can revolutionize optimization, signal processing, and artificial intelligence applications. My research bridges the gap between theoretical computer science and practical hardware implementation, creating new paradigms for tackling society's most computationally challenging problems.
Last updated: 16th Sept, 2025