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.
Estimating phylogenetic trees with neural network models
Nanomedicine or nanomaterials for biomedical applications.
Intersection of machine learning, statistics and optimization
Epigenetic control of cell identity in development and somatic cell reprogramming.
Nanoparticles for delivery of therapeutic agents and with gene-editing
Theoretical aspects of mixed-integer optimization
Sequential decision making and statistical learning theory