Siwei Wang

Siwei Wang

Dr. Siwei Wang is an Assistant Professor at Stony Brook University, conducting research at the intersection of computer science and neuroscience. She holds a PhD in Computer Science from the University of Chicago, specializing in machine learning and speech processing. Her postdoctoral training at the HU-Max Center for Sensory to Action involved collaborations with Naftali Tishby, Idan Segev, and Alexander Borst, focusing on theoretical neuroscience.

Research Interests
Dr. Wang investigates how neural systems process information to enable effective action planning. Using information theory and Bayesian methods, she explores how sensory inputs are transformed into behavioral outputs across neural circuits. Her work emphasizes the evolutionary and computational principles shaping neural representations during survival-critical behaviors.

Professional Background
- PhD in Computer Science (University of Chicago)
- Postdoctoral Fellowship at HU-Max Center for Sensory to Action
- Collaborations with Professors Naftali Tishby, Idan Segev, Alexander Borst, and Stephanie Palmer