Raymond Perkins is a fourth year Ph.D student in the department of Operations Research and Financial Engineering. Raymond received his Bachelor’s degree, magna cum laude and Phi Beta Kappa, from Morehouse College where he studied mathematics and economics. He has research experience in both industry and academia. He worked in Hong Kong designing a model to quantify operations risk for MetLife’s Asia Pacific region. In addition, he also modeled volatility derivatives at the Mathematical Sciences Research Institute (MSRI) in Berkeley, California and studied pursuit and evasion games on graphs at Michigan State the previous summers. He has also participated in the Budapest Semesters in Mathematics (BSM) program in Budapest, Hungary.
His current research interests includes computational stochastic optimization, specifically high-dimensional and sequential decision problems. Some of his current work involves studying widely used heuristic, formalizing those strategies, and discovering computational and mathematical properties about them.