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.
Understanding how we acquire concepts using computational modelling.
Neural network models on soil micobiome data to predict characteristics of potato growth.
Cryopreservation's effect on cell isolates and manufactured therapeutic phenotypes
Epigenetic control of cell identity in development and somatic cell reprogramming.
Efficient and robust active learning that reduces data labelling costs at scale
Nanoparticles for delivery of therapeutic agents and with gene-editing