Graduate students are the engine behind productive research programs at WID and elsewhere. The dozens of graduate students affiliated with WID have elected to make interdisciplinary inquiry a priority in their studies and research.
Folate's role in epigenetic changes that permit neuronal regeneration
Understanding machine learning mechanisms
Neural cell differentiation and therapy
Development of gene editing technologies in human pluripotent stem cells
Mathematical machine learning and applications of algebra and geometry to data science.
The origin of Mitochondria
Researching the intersection of controls and optimization, optimization as robust control.
Structural properties and cutting planes for binary polynomial optimization problems.
Epigenetic mechanisms of somatic cell reprogramming.
Sub-Critical Gas-Assisted Processing of polymer blends, alloys, and nanocomposites.
Feature selection techniques to find key interacting genetic features associated with disease.
Integrating prior knowledge in computational network inference.
Probabilistic graphical models • Electronic health records • High-dimensional statistics • Optimization
Sequential decision making processes, similarity learning, and statistical signal processing.
Mathematical programming applications in climate change and environmental economics
Time-of-flight using SPADs in high ambient light
Computational Imaging, Illumination, and Optics • Computer Vision • Time of Flight Imaging
Regulation of histone methylation via the sensing of methyl-donor metabolite availability.
Biochemical and mechanistic understanding of the H3.3-specific histone chaperone DAXX
Computational models using heterogeneous data to infer regulatory networks and predict gene expression.