Summary
Larry Zhang is a dual-PhD graduate student researcher in Intelligent Systems Engineering and Complex Network Systems at Indiana University Bloomington, focused on developing data-driven biomarkers for psychiatric and neurodegenerative disorders. With eight years of experience across academia and industry, he blends statistical learning, multimodal signal processing, and machine learning to analyze speech, digital phenotypes, physiology, and biological data for depression, Alzheimer’s, Parkinson’s, bipolar disorder, and anxiety. He has applied these skills in research and R&D internships at Dolby, Sony, Toyota Research Institute, Samsung Research America, NVIDIA, and USC, shipping robust sensing and analysis pipelines for emotion, stress, and vital sensing. Beyond modeling, he has led teams and built end-to-end data pipelines—e.g., voice-computing systems used across labs and a Voiceome initiative to standardize voice biomarkers—demonstrating both technical depth and research leadership. Based in the San Francisco Bay Area, he is open to collaboration and mentorship and brings a rare combination of hardware-aware engineering, clinical-minded validation, and multimodal computational neuroscience expertise.
8 years of coding experience
3 years of employment as a software developer
University of California San Diego
Dual PhD, Complex Network Systems and Intelligent Systems Engineering, Dual PhD, Complex Network Systems and Intelligent Systems Engineering at Indiana University Bloomington
Lynbrook High School
English, Chinese, French