Chris is a neuroscientist and builder, trained at MIT in the lab of Kay Tye. In his PhD he studied the roles of auditory thalamus and amygdala in the formation of discrimination and reversal learning. His work specifically looked at how features such as valence, context and avoidability are represented in the brain.
Chris has a wide-ranging skillset, and loves leading and working in teams. During his PhD he led a team interrogating circuits underlying complex learning to better understand how the brain organizes and categorizes information. In order to do this, he used a combination of in vivo multisite single-unit electrophysiology, circuit-specific optogenetics, whole-cell patch-clamp recording, and behavior in rodents.
He also has a passion for designing and building things. Chris spent his early 20s leading crews as a fine woodworker building houses and furniture in Ohio where he grew up, so it’s no surprise that his passion for working with his hands and attention to detail followed him to MIT. While there he excelled at designing and building custom cutting-edge hardware solutions both large and small for the experimental needs of his own team, as well as in collaborations with other teams and labs. One system he particularly enjoyed making was a scalable hardware system for multi-dimensional assay of complex behavior and electrophysiology data for his own research.
Chris loves finding multidisciplinary solutions to complex problems, and is currently seeking a position where optimization and innovation blaze the path to discovery.