Davis, California, United States
I am a Ph.D. graduate in Biomedical Engineering at the University of California, Davis, specializing in multimodal neuroimaging and computational modeling with a focus on aging and dementia. My research combines biophysical modeling and deep learning techniques with large-scale MRI data to improve diagnostic sensitivity and uncover patterns of neurological change. My work centers on modeling longitudinal brain changes and developing normative approaches to identify abnormal atrophy associated with neurodegenerative diseases such as Alzheimer’s. I am particularly interested in integrating multimodal data and building robust, interpretable models for clinical applications. With over 5 years of experience across academia and industry, I bring expertise in physiological modeling, MRI analysis, Bayesian inference, data science, and artificial intelligence. I have published peer-reviewed manuscripts and presented my research at multiple international conferences. I enjoy collaborating across disciplines to translate computational methods into meaningful healthcare insights.
Major advisor: Dr. Audrey Fan
- Evaluated computer vision methods for quantifying dystonia severity using MATLAB, R, and JMP - Developed signal processing workflow from video data to assess head tremors Major advisor: Dr. David Peterson
Major advisor: Dr. Ben Croker