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.

Dr. Huang's group's research combines both computational and experimental aspects of protein engineering.

Dr. Baiocchi specializes in creating simple, easy to understand methodologies for causal inference and observational studies.

The overarching goal of Dr. Saggar's research is to develop reliable computational methods that will allow for characterizing and modeling temporal dynamics of brain activity, without averaging data in either space or time.

The Sinclair group utilizes high resolution transmission electron microscopy to characterize the structure of important engineering materials at the nanoscale.

Dr. Shah’s lab focuses on understanding how the brain is developmentally wired to be different between the sexes, and how these sexually differentiated neural circuits mediate social behaviors.

Dr. Welander is a microbiologist with interests in understanding the biosynthesis and physiological function of “molecular fossils” or biomarkers in extant bacteria.

The Li lab uses chemical biology to uncover biochemical mechanisms in innate immunity and, in parallel, develop therapeutic hypotheses and lead compounds.

Dr. De Leo is a theoretical ecologist by formation, generally interested in investigating factors and processes driving the dynamics of natural and harvested populations and in understanding how to use this knowledge to inform practical management.