About Me
I'm an Electrical Engineering Ph.D. specializing in medical devices and signal processing, working at the intersection of electrical engineering, neuroscience, physiology, and AI to advance next-generation healthcare technology.
My research focuses on developing innovative wearable medical devices that non-invasively capture autonomic neurograph (ANG) activity and physiological biomarkers. Currently, I'm working toward FDA 510(k) clearance for technologies that could transform how we monitor and treat conditions related to inflammation and mental health.
I bring a multidisciplinary perspective spanning electrical engineering, machine learning, and biomedical engineering — combining rigorous technical expertise with a deep understanding of clinical needs. I'm also at the forefront of integrating cutting-edge AI tools into practical clinical applications.
Core Philosophy
Education
2019 – 2024
Ph.D. in Electrical Engineering
University of California, San Diego
Research Focus: Signal and Image processing, Medical Device Thesis: Systemic Inflammation Early Detection and Inflammation Severity Evaluation (Under Embargo)
2017 – 2018
M.S. in Electrical Engineering
University of California, San Diego
Depth: Machine Learning & Data Science
2013 – 2017
B.S. in Electrical Engineering
University of California, San Diego
Depth: Computer System Design