Research

Research Interests

Biomedical Optics

Advanced optical imaging technologies

Population Imaging

Calcium + Voltage signal analysis

Systems Neuroscience

Neural circuit dynamics & behavior

Machine Learning

Deep learning for biomedical data

Research Experience

PhD Researcher

UC Berkeley, Ji Lab | Berkeley, CA | 2020 - Present

Identified limitations in existing neuronal imaging analysis; led a multi-year project to develop a deep learning approach.
Defined technical requirements for an imaging and analysis pipeline; implemented changes that improved temporal resolution in internal evaluations.

Research Fellow

Harvard Medical School, Wellman Center of Photomedicine | Boston, MA | 2019 - 2020

Spearheaded the development of a portable and low-cost optical coherence tomography (OCT) system, defining user needs and system specifications to make advanced medical imaging more accessible.

Projects

Medical OCT Flow Analysis System

Harvard Medical School | 2017 - 2020
Technologies: Python, MATLAB, Signal Processing

Developed portable optical coherence tomography (OCT) system for coronary artery flow measurement
Implemented advanced signal processing algorithms for real-time blood flow quantification
Created machine learning models for automated vessel analysis, reducing diagnostic time by 60%
Built user-friendly interface for clinical deployment in cardiac catheterization labs