Dávid Papp

Dávid Papp is a Professor in the Department of Mathematics at North Carolina State University, specializing in theoretical, computational, and applied aspects of mathematical optimization. His work bridges convex programming, polynomial optimization, and nuclear medicine, with applications in engineering and healthcare.

• PhD in Operations Research from Rutgers University (2011)
• Current NSF CAREER Award recipient (2019) and INFORMS Healthcare Applications Society awardee (2021)

His research focuses on optimization under uncertainty, non-symmetric conic optimization, and sum-of-squares decompositions, with recent studies on spatiotemporal fractionation in radiotherapy and geometric optimization of polyhedra. Papp's alfonso software package (GitHub) and a Philips Radiation Oncology Systems patent highlight his contributions to computational tools.

Scientific Awards:

• NSF CAREER Award (2019)
• Mehrotra Research Excellence Award (2021)

Grants from the Air Force Office of Scientific Research and NSF support his work on primal-dual interior-point methods and large-scale optimization. Outreach initiatives include interactive installations at the Invisible Worlds exhibit (2018) and Smithsonian (2019), blending mathematical optimization with public engagement.