Ted Satterthwaite

McLure Associate Professor in Psychiatry and Behavioral Research
University of Pennsylvania

Ted Satterthwaite is McLure Associate Professor in Psychiatry and Behavioral Research at the University of Pennsylvania’s Perelman School of Medicine. He completed medical and graduate training at Washington University in St. Louis, where he was a student of Randy L. Buckner. Subsequently, he was a psychiatry resident and a neuropsychiatry fellow at Penn, under the mentorship of Raquel E. Gur. He joined the faculty of the psychiatry department in 2014 and served as director of imaging analytics at the Brain Behavior Laboratory from 2015 to 2019. Since 2020, he has directed the Penn Lifespan Informatics and Neuroimaging Center. His research uses multi-modal neuroimaging to describe both normal and abnormal patterns of brain development, in order to better understand the origins of neuropsychiatric illness. He has been the principal investigator on nine R01 grants from the National Institutes of Health. His work has been recognized with the Brain and Behavior Research Foundation’s Klerman Prize for Clinical Research, the NIMH Biobehavioral Research Award for Innovative New Scientists (BRAINS) award, the NIH Merit Award, as well as several teaching awards.

From this contributor

Explore more from The Transmitter

Brain Flows book cover

‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt

In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.

By Michael W. Cole
3 November 2026 | 9 min read
Research image showing copy number variants in prenatal cortical neurons.

Prenatal pruning of neurons with copy number variants; and more

Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.

By Jill Adams
3 November 2026 | 2 min read

New Stanford initiative aims to build digital twin of human brain

The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.

By Natalia Mesa
2 November 2026 | 0 min watch