Javier Peña

Javier Peña is a Professor of Operations Research at Carnegie Mellon University, affiliated with the Tepper School of Business. He holds a courtesy appointment in Mathematical Sciences. His research interests are aligned with the mathematical sciences, though specific research areas are not detailed in the provided information. Peña's contact details include an email address and a website link for further information.

Javier Peña is a researcher at Carnegie Mellon University with expertise in Optimization, statistics, and numerical analysis. His work focuses on developing and analyzing algorithms for solving complex optimization problems, particularly in finance, game theory, and conic programming. He has contributed to the understanding of Nash equilibria, smoothing techniques, and the geometry of conic systems. His research also explores the application of linear and semidefinite programming in various contexts, including static-arbitrage bounds and condition numbers for linear programming. Peña's publications highlight the intersection of theoretical and applied aspects of optimization, emphasizing computational efficiency and robustness.