WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
Predicting long-range enhancer-promoter interactions
Epigenetic regulation of stress memory in plants
Analysis of complex chemical systems relevant to the origins of life.
Causal inference relating to education policy
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
Developing adaptive learning algorithms that are data-efficient and scalable
Engineering organotypic 2D CNS tissues from human pluripotent stem cells
Conformational shifts underlying catalysis in epigenetic enzymes
Cross talk between DNA methylation and histone modification
Metric learning and active machine learning, focussed on reducing the sample complexity of learning.
Effects of community interactions on microbial physiology
Theoretical research on the emergence of life-like systems from chemical reaction networks
Development of computational methods for inference and analysis of biological networks
Bioinformatics based on networks and large-scale quantitative genomics.
Large scale and robust optimization in machine learning, min-max problems with game theory
Mass spectrometry-based metabolomics workflows for antibiotic discovery
The role of facial color in social perception