WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
Predicting long-range enhancer-promoter interactions
Application of computational models to predict cancer prognostics from proteomics and secretomics
Functions and mechanisms of histone modifiers in plant development and environmental response.
Epigenetic regulation of stress memory in plants
Genetic bases of multi-species bacterial communities
Genetic determinants of bacterial community stability and invasion
Patterning central nervous system tissue from human stem cells.
Mechanisms of environmental cues affect epigenetic DNA methylation change
Algorithms for optimization under uncertainty
Conformational shifts underlying catalysis in epigenetic enzymes
Develop optimization algorithms for problems arising in complex systems and data science.
Bioinformatics based on networks and large-scale quantitative genomics.
Adaptive algorithms in machine learning, high-dimensional statistics
Analyze and design optimization algorithms using techniques from control theory
Develop software solutions to facilitate modeling and analysis of a diverse set of complex problems.
Epigenetic barriers of reprogramming somatic cells to induced pluripotent stem cells
Nonconvex, stochastic, distributed optimization with application in data science