I build products that get used. Below is a selection of applied work across clinical AI, research automation, and data infrastructure.
Upturn Health · Deployed · 2025
Designed and deployed a five-phase agentic LLM system for a women's health startup — integrating safety screening, adaptive conversation logic, and clinical protocol alignment.
Stack: Python · LLMs · YAML
Research · In Development · Upturn
Built a system to encode expert clinician knowledge into structured, computable formats for scalable clinical decision support.
Stack: Python · LLM · Knowledge Engineering
UCSF · Research · UCSF
Automated pipelines for oncology research data processing — from EHR extraction through endpoint derivation (OS, PFS, RANO, Genetic variants) to analysis-ready datasets.
Stack: Python · EHR · NGS
Regeneron · Deployed
Built and deployed internal analytical tools used daily by clinical operations teams at Regeneron — a portfolio-level enrollment monitoring dashboard tracking trial status across the company's portfolio, and a subject-level data completeness dashboard. Designed to answer the specific operational question at hand, not to be general-purpose tools.
Stack: Python · Streamlit · SQL
UCSF · Research · UCSF · 2023–2025
Co-author on a publication-grade heterogeneous knowledge graph pipeline mapping the co-occurrence of concerns and the relationship to received interventions across 2,000+ caregivers of patients with brain tumors. Output graphs support analytical reporting on caregiver burden in neuro-oncology research.
Stack: Python · NetworkX · GEXF · Gephi
