The research focus of Dr. Pasca’s lab is to understand molecular mechanisms underlying neurodevelopmental disorders associated with premature birth and neonatal brain injury with the long-term goal of translating the lab’s findings into therapeutics.

Dr. Williams is the founding Director of the PanLab for Precision Psychiatry and Translational Neuroscience and has developed a radical new way to understand and treat mental disorders, anchored in a neuroscience-informed model for precision mental health.

The Dassama laboratory at Stanford performs research directed at understanding and mitigating bacterial multidrug resistance (MDR). Efforts to combat MDR involve two broad strategies: understanding how resistance is acquired in hopes of mitigating it, and identifying new compounds that could serve as potent antibiotics.

Dr. Wang's group develops technologies for x-ray and CT imaging, using the Zeego Interventional X-Ray Lab and the Tabletop Cone-Beam CT Lab. They welcome collaborations with clinical and engineering teams to advance these technologies into clinical care.

Dr. Gomez-Ospina is a physician scientist and medical geneticist with a strong interest in the diagnosis and management of genetic diseases.

Dr. Sheshadri's group addresses fundamental questions in atmospheric dynamics and variability. Understanding atmospheric circulation could enable seasonal prediction of events such as cold snaps and heat waves, potentially impacting many lives.

Dr. Duncan's group studies genetic and environmental effects on mental health: much of their work is computational and relies upon genetic data collected from millions of individuals.

Dr. Chiu's laboratory aims to understand the mechanisms of pediatric solid tumors, precisely target the specific causes, and devise unique medical or surgical treatments for every child.

Dr. Guosong Hong's research aims to bridge materials science and neuroscience, and blur the distinction between the living and non-living worlds by developing novel neuroengineering tools to interrogate and manipulate the brain. Specifically, the Hong lab is currently developing ultrasound, infrared, and radiofrequency-based in-vivo neural interfaces with minimal invasiveness, high spatiotemporal resolution, and cell-type specificity.

Dr. Aghaeepour's lab develops machine learning/artificial intelligence methods to study the immune system in clinical settings.