Dr. Langlotz's laboratory employs deep neural networks and other machine learning technologies to design algorithms that detect and classify disease on medical images.

The Svensson Laboratory is dedicated to the discovery of new ligands that can control metabolism.

Dr. Newman's lab builds novel data science tools to better understand the cellular and molecular composition of normal and neoplastic tissues.

Dr. Kachru's research has used the ideas and techniques of quantum field theory and string theory to address questions in theoretical cosmology, condensed matter physics, particle physics, mathematical physics, and quantum gravity.

Dr. James's research interests include computer graphics, computer sound, physically based modeling and animation, and reduced-order physics models.

Research in Dr. Dinneny's lab is aimed at understanding the response of roots to water-limiting conditions and is exploring this process at different organizational scales from the individual cell type to the level of the whole plant.

Dr. Long's lab uses a multidisciplinary approach to discover new bioactive metabolite pathways and to understand how these pathways control metabolic homeostasis and organismal physiology.

Dr. Sinha is particularly interested in developing and applying novel solutions to alleviate intestinal inflammatory conditions, and on developing more effective therapies and understanding the microenvironment changes in the inflamed versus normal gut in order to identify better therapeutic targets for people with GI immune-­mediated disorders.

Dr. Hiesinger's research interests include investigating the application of molecular and tissue engineering to the translation of angiogenic cytokine therapy for ischemic heart failure and bioengineered devices.

Dr. Haroush’s laboratory studies the mechanisms by which highly complex behaviors are mediated at the neuronal level, mainly focusing on the example of dynamic social interactions and the neural circuits that drive them.