Bamdad Hosseini

Bamdad Hosseini is an Assistant Professor in the Department of Applied Mathematics at the University of Washington, located in Seattle. His research focuses on the intersection of applied mathematics, probability, and statistics, with an emphasis on computational methods for data science and uncertainty quantification. He holds a PhD in Mathematics from Simon Fraser University and previously served as a Senior Postdoctoral Fellow and von Karman Instructor at the California Institute of Technology.

Education

• PhD in Mathematics, Simon Fraser University

Research Interests

His work explores rigorous theoretical foundations of machine learning and integrates uncertainty quantification into data science tasks. Key areas include computational methods, inverse problems, and statistical methodologies applied to real-world challenges.

Funding & Grants

• National Science Foundation (NSF) grant DMS-2337678 (CAREER CompMath + Amath)
• NSF grant DMS-2208535 (CompMath)

He is affiliated with the Department of Applied Mathematics at the University of Washington, Lewis Hall #220, and can be reached at bamdadh@uw.edu.