Sven Leyffer is a senior computational mathematician whose research centers on computational optimization. He is a world leader in both the theory and the development of large-scale complementarity constraints or integer variables. The former arise when modeling competitive equilibria (e.g., in power markets), and the latter are used to model on/off decisions and long-term investment choices.
Sven has developed numerous solvers and open-source packages for solving these classes of problems, including filterSQP and filterMPEC for the solution of nonlinear optimization problems and complementarity constraints and MINOTAUR for the solution of problems with integer variables.
Sven is co-editor of Mathematical Programming and editor-in-chief of Mathematical Methods of Operations Research. He has served as the INFORMS Optimization Vice-Chair for nonlinear programming and as the Program Director of the SIAM Activity Group on Optimization and was SIAM Vice President for Programs from 2010 to 2013.
Sven joined the Mathematics and Computer Science Division in 2002, where he is now a senior computational mathematician. He is also a Senior Fellow of the University of Chicago/Argonne Computation Institute.