Ahmet Alacaoglu
Continuous optimization for machine learning, reinforcement learning and other data science problems
Postdoctoral Associates
WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
Stephanie Colón-Santos
Analysis of complex chemical systems relevant to the origins of life.
Amanda Hurley
Genetic determinants of bacterial community stability and invasion
Jianjun Jiang
Mechanisms of environmental cues affect epigenetic DNA methylation change
Julian Katz-Samuels
Developing adaptive learning algorithms that are data-efficient and scalable
Gavin Knight
Engineering organotypic 2D CNS tissues from human pluripotent stem cells
Zhen Peng
Theoretical research on the emergence of life-like systems from chemical reaction networks
Tolulope Perrin-Stowe
Relationship between genomes and their environments to predict organisms' fitness correlations.
Saptarshi Pyne
Development of computational methods for inference and analysis of biological networks
Junha Shin
Bioinformatics based on networks and large-scale quantitative genomics.
Chaobing Song
Large scale and robust optimization in machine learning, min-max problems with game theory
Chris Thomas
Mass spectrometry-based metabolomics workflows for antibiotic discovery
Xiuxiu Wang
Research interests focus on design of multi-functional nanocarriers for targeted drug delivery