DSI Postdoctoral Fellow Wins Award for Dissertation

Scott Linderman

Scott Linderman, a postdoctoral fellow at the Data Science Institute, won the Savage Award for his doctoral dissertation about discovering patterns in brain data.

The International Society for Bayesian Analysis gives the award annually to a doctoral student who has done outstanding research. The judges cited Linderman for using computer science, neuroscience and statistics to understand how brains process sensory information, make decisions, and generate movement.

Linderman’s dissertation, completed at Harvard, focused on neural spike-train recordings -- measurements of electrical activity in neurons. He worked with neuroscientists who used novel recording methods to measure electrical signals from brain neurons. He also developed statistical models and algorithms to analyze these data and find patterns of brain activity. His tools can help scientists discover how neural circuits perform computations.

Linderman is a postdoc in the labs of Professors David Blei and Liam Paninski, both members of the Data Science Institute. Blei is known for using Bayesian analysis to solve complex problems.

“I'm honored to receive the Savage Award from the Society for Bayesian Analysis,” said Linderman, “which would not have been possible without the constant support of my advisers. I’m excited to continue working at the intersection of computer science, statistics, and neuroscience here at the Data Science Institute.”

--By Robert Florida

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