Kevin Leder

Kevin Leder

Kevin Leder

Associate Professor, Industrial and Systems Engineering

Contact

Lind Hall
Room 354
207 Church Street Se
Minneapolis, MN 55455
Education

BS in Applied Mathematics, University of Colorado, Boulder, CO, 2002
MS in Applied Mathematics, Brown University, Providence, RI 2005
PhD in Applied Mathematics, Brown University, Providence, RI, 2008

Professional Background
  • Assistant Professor, Industrial and Systems Engineering, University of Minnesota, 2011-2017
  • Associate Professor, Industrial and Systems Engineering, University of Minnesota, 2017-present
  • Post-doctoral Researcher, Department of Biostatistics and Computational Biology, Harvard University, 2009-2011
  • Post-doctoral Research, Department of Industrial Engineering and Operations Research, Columbia University, 2008-2009
Scientific & Professional Societies
INFORMS, SIAM
Biography

Professor Leder joined the University of Minnesota in 2011. Prior to that he was a post-doctoral research associate at the Harvard School of Public Health for two years with Franziska Michor, and a post-doctoral researcher at Columbia University for one year working with Jose Blanchet. He received his PhD in 2008 from Brown University in Applied Mathematics under the supervision of Paul Dupuis and Hui Wang. His initial research work was on simulation of rare events in queueing networks and random walks, but he has since worked extensively on mathematical modeling of cancer initiation and treatment.

More information can be found on Leder's personal website.

Research Interests

Professor Leder has two lines of research. He has published several works that study large deviations and rare event simulation algorithms for a variety of stochastic models that arise in operations research and statistics, e.g., queueing networks, random matrices, and reflecting diffusions. In addition, he has a large number of publications on the mathematical modeling of cancer. In particular, he uses classical models of population genetics to answer questions about tumor evolution and optimization techniques to better understand optimal cancer therapies. He has published in a wide variety of high quality journals such as Cell, Cancer Research, Mathematics of  Operations Research, Annals of Applied Probability, Annals of Statistics and others. His research has been supported by grants from NSF, Fulbright Foundation, and NCI.

Currently Teaching Courses
IE 3521 (and 4521) Statistics, Quality and Reliability
IE 3553 (and 5553) Simulation
IE 8552 Topic Course on Rare Event Simulation and Large Deviations
IE 8532 Stochastic Processes and Queueing Systems
IE 8533 Advanced Stochastic Processes
IE 5532 Stochastic Models
Honors and Awards
  • Recipient of Fulbright Scholar Award to visit University of Oslo in Norway, 2018. 
  • 2010 Best Publication Prize, INFORMS Simulation Society

  • 2016 NSF CAREER Award
Selected Publications
  • Mathematical modeling of proneural glioblastoma reveals optimized radiation dosing schedules (with K. Pitter, E. Holland, F. Michor and et al),Cell (2014)
  • Multifocality and recurrence risk: a quantitative model of field cancerization (with J. Foo and M. Ryser), Journal of Theoretical Biology (2014). 
  • Robust and probabilistic optimization of dose schedules in radiotherapy (with H. Badri and Y. Watanabe), Physics in Medicine and Biology (2015)
  • Quantifying the Dynamics of Field Cancerization in HPV-Negative Head and Neck Cancer: A Multiscale Modeling Approach (with M. Ryser, W. Lee, and J. Foo), Cancer Research (2016)
  • Optimizing chemoradiotherapy to target multi-site metastatic disease and tumor growth (with H. Badri, E. Salari, and Y. Watanabe), INFORMS Journal of Computing (2018).
  • Dynamics of Cancer Recurrence (with J. Foo), Annals of Applied Probability (2013).