Shuvro Chowdhury received his Ph.D. in Electrical and Computer Engineering from Purdue University in 2022. He earned his B.Sc. and M.Sc. degrees in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET), where he later served as a faculty member for five years. His doctoral research focused on developing a general framework for mapping quantum problems into probabilistic networks, contributing to the foundations of probabilistic computing. He is currently a postdoctoral researcher in the OPUS Lab at the University of California, Santa Barbara. His research interests span probabilistic and quantum computing, machine learning, and the simulation and modeling of nanoelectronic devices. He is particularly interested in hardware-software co-design for probabilistic computing and its applications to large-scale optimization and quantum-inspired algorithms and machine learning. His long-term goal is to bridge theoretical advances with scalable hardware platforms that enable next-generation computing technologies.