Yingxi Lin.

Yingxi Li

Professor of psychiatry and neuroscience
University of Texas Southwestern Medical Center

Yingxi Li is professor of psychiatry and neuroscience, and chief of the Psychiatry Neuroscience Research Division at University of Texas Southwestern Medical Center. Her research focuses on uncovering molecular and circuit mechanisms in neurodevelopment, memory formation and neuropsychiatric conditions. Employing a broad array of multidisciplinary experimental techniques, work in her lab spans analyses from the genomic and molecular level to synapse, circuit and whole-animal behavioral levels.

Originally from China, Lin studied engineering physics at Tsinghua University and received her Ph.D. in biophysics from Harvard University. She conducted her postdoctoral research under Michael Greenberg at Harvard Medical School. She was assistant professor from 2009 to 2015 and associate professor from 2015 to 2018 at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology. Prior to her current role, she was full professor and director of the Neuroscience Graduate Program at SUNY Upstate Medical University.

Explore more from The Transmitter

Illustration of an open journal featuring lines of text and small illustrations of eyes and mouths.

Links between tuberous sclerosis complex and autism, and more

Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.

By Jill Adams
18 August 2026 | 1 min read
Taylor Bolt photo illustration.

The fun and flexibility of data science

Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.

By Katie Moisse
18 August 2026 | 7 min read
Two trajectories cross over each other showing areas of alignment and misalignment.

Mind over metrics: How can we tell if two brains (or AI models) are alike?

The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.

By Alex Williams
17 August 2026 | 7 min read