I graduated from Stanford University in 1998 with a B.S. in Mathematical and Computational Science and a M.S. in Operations Research. I spent a year at Lawrence Livermore National Laboratories before completing a Ph.D. in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology in 2005. I am an Associate Professor in the mathematics department at the U.S. Naval Academy and also affiliated with the Johns Hopkins University School of Medicine.
My research in optimization in kidney transplantation has been profiled in Science and TIME magazine, and I was a guest on the Diane Rehm show in 2005. A one-hour Discovery channel show featured the work of myself and the transplant team at Johns Hopkins in arranging a three-way paired donation, and our research also played a part in an episode of the mathematical detective show Numb3rs. I have been an invited speaker at Stanford University, MIT, Georgia Tech, the University of Maryland College Park, and the Wharton School at the University of Pennsylvania. I serve as an advisor to both the United States and Canada in their efforts to create national paired donation registries. I collaborate with my husband, Dorry Segev, who is a transplant surgeon, on research in optimization and simulation for organ allocation. Our group helped lobby for Congress to clarify the legal status of kidney paired donation, which the House and Senate did in December 2007.
In 2009 the Mathematical Association of America selected me for a national teaching award, the Henry L. Alder award, which recognizes distinguished teaching by a beginning college or university mathematics faculty member. I received an American Society of Transplant Surgeons Top Ten Abstracts award for my submission to the 2009 ASTS Winter Symposium. As a graduate student, I received a Department of Energy Computational Science Graduate Fellowship (CSGF) and a Best Student Paper award at the 2003 IEEE Systems, Man, Cybernetics Conference. I won a related CSGF essay contest for technical writing that effectively communicates computational science to a lay audience. The essay appeared in the 2007 Compose publication.