Dr. Pritchard's lab is interested in a broad range of problems at the interface of genomics and evolutionary biology. One current focus of the lab is in understanding how genetic variation impacts gene regulation and complex traits. They also have long-term interests in using genetic data to learn about population structure, history and adaptation, especially in humans.

Dr. Wakatsuki's research interests include structural biology of post-translational modification and vesicle transport, structural biology of polyubiquitin recognition, synchrotron radiation and XFEL instrumentation, protein crystallography and small angle X-ray scattering, integrative multi-scale bioimaging.

Dr. Dror's research focuses on computational biology, with an emphasis on the spatial organization and dynamics of biomolecules and cells.

Dr. Sergiu Pasca's lab employs state-of-the-art stem cell biology, genome engineering, imaging and neuroscience approaches to identify the dynamical processes that go awry in neural cells derived from patients with neuropsychiatric disorders, such as autism or schizophrenia, and what should be therapeutically targeted in these conditions.

Dr. Henderson's research interests encompass several areas of stereotactic and functional neurosurgery.

Dr. Julia Salzman's lab is primarily a computational data science laboratory focused on studying RNA biology with a secondary focus on validation and novel experimental design to enable statistical analysis of RNA expression.

Dr. Red-Horse's laboratory uses cardiovascular development as a model to study the signals that instruct cell fate and guide morphogenesis during organ formation in the mammalian embryo.

Dr. Josh Makower is The Yock Family Professor of Medicine and of Bioengineering at the Stanford University Schools of Medicine and Engineering and the Director of the Stanford Byers Center for Biodesign, the program he co-founded with Dr. Paul Yock twenty years ago.

Dr. Levin's research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects.

The Lee lab uses interdisciplinary approaches from biology and engineering to analyze, debug, and manipulate systems-level brain circuits.