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.
Computational modeling of bacterial iron homeostasis and oxidative stress response
Mathematical cognition and learning, particularly how representation impacts mathematical reasoning
Developing biomedical nanomaterials for drug delivery applications
Novel CAR T Cell therapy development in translational and bench top settings
Encoding of social and visual concepts in the brain and in deep learning models of human cognition
Epigenetic mechanisms that control Primordial Germ Cell differentiation in mice
Reducing stress at workplaces through design
Network biology approaches to understanding long-term survivors of metastatic breast cancer
Admittance based Haptics, Human Friendly Robotics, Handheld Haptic Devices
Applications of machine learning for signal processing
Understanding the physics at the origins of life.
Optimization algorithms and machine learning
High dimensional mixed effect models for microbiome data
Computational methods to model cellular networks.