I research, design and implement deep learning-based solutions for Alzheimer's disease pathology and biomarker detection from neuroimaging data. Currently, I'm developing a deep learning model for predicting tau pathology from MRI scans. I also develop and manage an image processing pipeline for arterial spin labeling MRI data from the ADNI cohort for the purpose of analyzing changes in cerebral blood flow in Alzheimer's disease.

Collaborated with PI Marcella Gomez, developed tools for computational analysis of the gene regulatory process of wound healing, and wrote Python scripts and use data science packages to take in gene ontology data and find statistically significant gene functions and pathways.

Collaborated in research projects in Peter Alvaro's Disorderly Labs in the Computer Science department at UCSC.

Developed algorithms for abstracting distributed systems traces.

Wrote scripts (Python, SQL) to query sets of traces for various features and communication patterns.

Participated in business and technical meetings with founders, directors, & advisors of startup tech company.

Assisted with electrochemical research to optimize performance of lithium-air batteries.

Built prototypes of lithium-air batteries and analyzed performance.