Software Engineer
Master’s student in Biomedical Data Science at Stanford University.
Currently contributing to OpenTSLM, exploring how language models can understand and reason over physiological time-series data.
I’m interested in building technology at the intersection of artificial intelligence, medicine, and human-centered design. Outside of work, I enjoy surfing, basketball, cooking, and traveling.
1st place · YC × Medplum Hackathon
A physician-agent network for specialty care, where personalized AI agents represent physicians and help coordinate consultations, expertise discovery, and referrals.
Research · Contributor
An exploration of how time-series language models can interpret continuous glucose monitoring data, extending OpenTSLM to reason over physiological measurements.
Machine Learning
A neural-network-based system exploring computational representations of traditional Chinese medicine, mapping symptoms to interpretable syndrome patterns and potential herbal treatments.
Digital Health · iOS
An iOS application that uses machine learning to detect and track cough frequency, helping patients and clinicians better understand respiratory symptoms over time.
Human-Computer Interaction
An event planner that supports the mental health of older adults, especially in immigrant communities, by helping them find, join and create events around shared interests.
Research Contributor
Contributing to OpenTSLM’s research on time-series language models, with a focus on adapting and evaluating models for continuous glucose monitoring data.
AI Training Data Contractor
Supported AI model development through multilingual data preparation, translation, and dataset formatting, with an emphasis on consistency and training-data quality.
Team Lead
Led consulting work providing strategic and financial guidance to small businesses in California.
Patient Health Navigator
Volunteered at a free clinic serving uninsured patients in Redwood City, helping patients navigate access to primary care, insurance, medication, laboratory testing, and other medical resources.
AI Engineer Intern
Built a machine learning model that suggests Kampo (traditional Japanese medicine) alternatives to conventional medicine.
Software Engineer Intern
Automated how grant data is pulled from client documents for ESO Fund’s grant equity calculator.
In progress
Focused on Computer Science and Digital Health
Graduated June 2025
2023
Antimicrobial Stewardship & Healthcare Epidemiology
Undergraduate Research Assistant
Assessed ventilation in Liberian healthcare facilities to find high-risk spaces needing intervention, and developed a low-cost continuous CO₂ sensor.
Studied how traditional healers treat surgical conditions in Xhosa communities, to support integrating traditional medicine with the national health system.
Won with Lamina, a network of AI agents that represent physicians.
Awarded funding through the Stanford Byers Center for Biodesign to develop GreenScreen, an AI-powered visa-navigation tool.
Received funding through the Stanford Byers Center for Biodesign for HomeCare Nav, a physician-assistance tool designed to help assess eligibility for Hospital at Home programs.