Want to see what two of the world’s top math stars are doing? Check out Daniel Dadush’s and Daniel Pomerleano’s CVs. In addition to writing articles that make my head spin, they have been keeping a close eye on AI, particularly its ability to solve long-standing math problems. Are mathematicians about to go extinct? Watch/listen to this captivating podcast about AI’s math accomplishments and the future of the field. Btw, the two Daniels and I go back a long way. I went to graduate school with their parents.
Daniel Dadush is a mathematician and computer scientist at the Department of Mathematics at Utrecht University. Daniel also leads the Networks & Optimization group at CWI (Centrum Wiskunde & Informatica) in Amsterdam, and holds a part-time full professorship in the Department of Mathematics at Utrecht University. Daniel earned his PhD in 2012 through the ACO (Algorithms, Combinatorics, and Optimization) program at Georgia Tech, and went on to spend two years as a Simons Postdoctoral Fellow at the Courant Institute of Mathematical Sciences at New York University before joining CWI. Daniel’s research centers on lattice algorithms and the geometry of numbers, linear and integer programming, extended formulations, discrepancy theory, convex optimization, and asymptotic convex geometry. His work has been recognized with several honors, including the Netherlands Society for Statistics and Operations Research’s Van Dantzig Prize (2020), the A.W. Tucker Prize for Best Thesis in Mathematical Optimization (2015), and best paper awards at IPCO 2023 and CCC 2020, along with an ERC Starting Grant (2019–2024) and an NWO Veni Grant (2015–2018). Daniel is active in the broader optimization community, having served on numerous program committees (including STOC, FOCS, SODA, and IPCO), led the Dutch Seminar on Optimization from 2019 to 2024, and is currently local co-chair for the 2027 International Symposium on Mathematical Programming (ISMP) in Amsterdam.
Daniel Pomerleano is an Associate Professor in the Department of Mathematics at UMass Boston. He also serves as the Graduate Program Director for the Computational Sciences PhD program. Daniel’s research focuses on mirror symmetry, particularly noncommutative Hodge theory and symplectic topology. Daniel holds a B.A. in Mathematics from the University of Pennsylvania and a Ph.D. in Mathematics from the University of California, Berkeley. His academic career has included a Research Associate position at the University of Cambridge, an EPSRC Postdoctoral Fellowship at Imperial College London, and a postdoctoral research position at the Kavli IPMU, University of Tokyo, before joining UMass Boston, where he has taught Calculus I. He is the author of numerous papers in symplectic geometry and mirror symmetry, published in journals such as Geometry & Topology, Geometric and Functional Analysis, Communications in Mathematical Physics, and the Journal of Topology, often in collaboration with researchers including Paul Seidel, Sheel Ganatra, Constantin Teleman, and Nick Sheridan.
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