معرفی
Kevin Leder is Professor and Director of Graduate Studies in the Department of Industrial and Systems Engineering at the University of Minnesota. His research spans stochastic modeling of cancer evolution and rare event simulation methodologies.
His cancer research develops mathematical frameworks to understand evolutionary dynamics in tumors, including mechanisms of treatment resistance, recurrence patterns, and intratumoral heterogeneity. He applies optimization techniques to design improved therapeutic regimens and develops statistical methods for inferring tumor parameters from clinical data. A second research focus involves rare event analysis for stochastic systems including queuing networks and reflecting diffusions.
Leder's publications demonstrate expertise in developing probabilistic models for cancer recurrence timing, inferring cellular dynamics from drug screen data, and optimizing treatment schedules using Bayesian approaches. His interdisciplinary work integrates methods from applied probability, statistics, and operations research.
He has received research funding from NSF, NCI, and Fulbright Foundation. As Graduate Studies Director, he oversees academic programs and mentors students in mathematical oncology and stochastic processes.
