Dr. Jagannathan is an Infectious Diseases specialist with 7 years of experience in translational immunology research focused on pathogen-specific cellular immune responses.

Dr. Beadle's research goals are to improve the outcomes of patients diagnosed with head and neck cancer through the integration of novel agents with radiation therapy, understanding key molecular drivers of the disease, and optimizing the use of advanced computational and physics-based approaches to improve treatment planning.

Dr. Moss's aim is to develop non-invasive structural and functional markers of papilledema physiology that predict visual outcomes in idiopathic intracranial hypertension (IIH) and guide tailored intervention that will improve visual outcomes and prevent blindness.

The Kaltschmidt lab’s goal is to understand the molecular basis of neuronal circuit formation. They are particularly interested in circuits that underlie locomotion, sexual function and gut motility.

Dr. Vilches-Moure's collaborative research interests include: developmental biology, cardiac biology, cardiac development, cardiac pathology, developmental pathology, and pathology of laboratory animal species, and his main goal is to provide collaborative pathology support to investigators who use models of disease.

The goal of Dr. Nuyujukian's work is to develop brain-machine interfaces as a platform technology for a variety of brain-related medical conditions including stroke and epilepsy.

Dr. Davis is a Pediatric Oncologist whose laboratory focuses on studying healthy hematopoietic development and leukemia using single cell analysis methods, including mass cytometry to identify clinically relevant cell populations and drug targets to prevent patient relapse.

Dr. Bernstein's interests include the genetics of autism and other developmental disorders.

Dr. Yamins's research with the Stanford Neuroscience and Artificial Intelligence Laboratory (NeuroAILab) lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis.

Dr. Van Roy's research focuses on understanding how an agent interacting with a poorly understood environment can learn over time to make effective decisions.