Paul E. Hand

Paul E. Hand is an Associate Professor in the Department of Mathematics and Computer Science at Northeastern University, affiliated with the College of Science and Khoury College of Computer Sciences. He holds a Ph.D. in Mathematics from New York University (2009) and specializes in signal recovery, deep learning, and optimization. His research focuses on developing mathematical frameworks for inverse problems, phase retrieval, and generative models with provable guarantees. He has taught advanced courses in machine learning, algorithms, and deep learning at Northeastern and Rice University.

Education: Ph.D. in Mathematics, New York University (2009); M.S. and B.S. in Mathematics, not explicitly stated but inferred from academic trajectory.

Research Interests: Applied mathematics, compressed sensing, deep learning, phase retrieval, signal recovery, and optimization. His work bridges theory and practice, addressing challenges in imaging, robustness, and generative modeling.

Grants: NSF CAREER Grant DMS-1848087 (2018).

Outreach: Directed STEM summer camps at Rice University (2017) and developed LeadingLesson, a platform for multivariable calculus problem-solving resources.

Teaching: Courses include Machine Learning (CS 6140), Deep Learning (CS 7150), Algorithms (CS 3000), and Analysis at Northeastern and Rice. He emphasizes rigorous proof techniques and pedagogical innovation.

Labs/Teams: Collaborates with researchers in computational mathematics, computer vision, and machine learning. Active in authoring peer-reviewed papers and reviewing for top conferences (NeurIPS, ICML, ECCV).