Dr. Sunwoo's laboratory is focused on two primary areas of research: the immune response to head and neck cancer and to a tumorigenic population of cells within these malignancies called cancer stem cells; and the developmental programs of a special lymphocyte population involved in innate immunity called natural killer (NK) cells.

Dr. Bernstein combines computation with crowds, creating systems that enable people to connect and coordinate online.

Dr. Arrigo and his students use a combination of laboratory and field studies, remote sensing, and computer modeling techniques to understand phytoplankton dynamics in regions ranging from the Southern Ocean to the Red Sea.

The Designing Education Lab (DEL), led by Dr. Sheppard, investigates a broad range of engineering education topics, from the persistence of students and alumni in engineering fields to the impact of exposure to entrepreneurship on engineering students' career interests.

Dr. Rankin's research emphasis is the role of hypoxia-inducible factors in tumorigenesis.

Dr. Fujioka's research topics include neural oscillations for auditory perception, auditory-motor coupling, brain plasticity in development and aging, recovery from stroke with music-supported therapy, and re-learning of speech and music after cochlear implantation.

Dr. Levi is the Sara Miller McCune Director of the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford and a Professor of Political Science.

Dr. Marinkovich's lab studies epithelial tissues, the extracellular matrix of which plays a critical role in many important biological processes such as tissue development and differentiation, wound healing, tumor invasion, cell proliferation and cell migration.

Dr. Shamloo's laboratory aims to better understand normal and pathological brain function so that they can contribute to the discovery of novel therapeutic approaches for neurologic disorders such as stroke, Alzheimer’s disease, and autism.

Dr. Candès's research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems.