Shaobo Han is a Senior Researcher at NEC Laboratories America, working on the design and development of machine learning and signal processing techniques for real-world sensing applications. He is interested in generalizable AI methods that can cope with limitations in data acquisition and domain shifts in deployment environments. He received Ph.D. in Electrical and Computer Engineering and M.S. in Statistical Science from Duke University. His Ph.D. advisor was Lawrence Carin.

His research interest includes:

• Probabilistic models and variational inference,
• Transfer learning and domain adaptation,
• Bayesian statistics,
• Signal processing and sensing applications.