Project Scientist
University of California Los Angeles
Los Angeles, California, United States
I am a computational neuroscientist dedicated to advancing our understanding of addiction and chronic pain by analyzing human neural signals through the lens of stochastic patterns in electrophysiological activity. My research takes advantage of rare opportunities to invasively record key structures of the human brain’s addiction circuitry, providing direct insights into its mechanisms. I integrate novel computational techniques, drawing on my extensive training in statistics, six years of industry experience in financial stochastic modeling, and ten years of PhD/postdoctoral research on stochastic patterns in brain and body signals. By bridging neuroscience, computation, and real-world applications, I aim to uncover new biomarkers and therapeutic strategies for addiction. My long-term goal is to develop neuromodulation treatments that can prevent and alleviate addiction symptoms.
Reduced Cognitive-affective Network Connectivity in Patients at Risk for Opioid Use Disorder
Friday, January 23, 2026
11:00 AM - 11:10 AM PST