- Currently a Senior Researcher at NEC Labs America, Princeton, NJ- Strive to learn a structured, interpretable digital counterpart of the physical world from the raw sensory inputs using generative modeling and differentiable inference- Develop AI/ML methods that extrapolate to new tasks and are generalizable to new environments - Ph.D. from Duke University in machine learning and applied statistics- Published author at NeurIPS, ICLR, ICML, AISTATS, ICASSP, and IEEE-TSP- Expertise includes probabilistic and deep generative models, variational inference, parameter-efficient fine-tuning and transfer learning, test-time adaptation, Bayesian statistics, sensing, and signal processing- Proven track record of delivering AI-based solutions for real-world applications and interdisciplinary collaboration- The inventor of several patentsWebpage: https://shaobohan.net/