Postdoctoral Associates
WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
Nam Ho-Nguyen
Optimization under uncertainty, data-driven optimization, machine learning, statistics
Amanda Hurley
Genetic determinants of bacterial community stability and invasion
Jianjun Jiang
Mechanisms of environmental cues affect epigenetic DNA methylation change
Zhen Peng
Theoretical research on the emergence of life-like systems from chemical reaction networks
Junha Shin
Bioinformatics based on networks and large-scale quantitative genomics.
Ardhendu Shekhar Tripathy
Adaptive algorithms in machine learning, high-dimensional statistics
Bryan Van Scoy
Analyze and design optimization algorithms using techniques from control theory
Steven Wangen
Develop software solutions to facilitate modeling and analysis of a diverse set of complex problems.
Coral Wille
Epigenetic barriers of reprogramming somatic cells to induced pluripotent stem cells
Yue Xie
Nonconvex, stochastic, distributed optimization with application in data science
