Professional Highlights 

• FDA Insights Chatbot (2024) – AWS-based secure RAG system for regulatory science; achieved 70% faster responses; recognized as a Top-5 Poster at FDA Scientific Computing Days.

• ARPA-H GRACE Assistant (2023–Present) – Designed and benchmarked biomedical LLM workflows on Azure; guided NER pipelines for unstructured health data.

• Synthetic EHR Quality Challenge (2023) – Developed AWS workflows to detect demographic bias in EHR data; named a Top Performer in the PrecisionFDA challenge.

• In Silico Clinical Trials (2022) – Built advanced simulation models to accelerate trial design; selected as a Top-5 Poster at FDA SCD.

👉 See More on Projects Link

About Me 

I am a data scientist and solutions architect with 23+ years of experience bridging advanced technology and healthcare data across FDA, NIH, CDC, and ARPA-H. My focus is on designing secure, scalable AI/ML and cloud solutions that meet regulatory needs while accelerating research and innovation. I bring a mix of technical depth, regulatory expertise, and a passion for mentoring teams to help organizations turn unstructured data into actionable insights.

Core Expertise 

• Cloud & AI/ML Architecture (AWS, Azure, GCP; secure RAG workflows, NLP, LLM evaluation)

• Biomedical & Scientific Modeling (RWD/RWE, computational biology, in-silico trials)

• Leadership & Mentorship (driving proposals, guiding teams, training 300+ scientists)