Senior Biostatistician building clinical AI systems that hold up in real workflows.
I work at the intersection of biostatistics, healthcare data, and AI product delivery, translating rigorous research practice into tools teams can actually adopt.
publications
years clinical analytics
DCRI Innovator Award
Clinical research meets product execution
I'm a Senior Biostatistician at the Duke Clinical Research Institute, where I lead statistical work and AI initiatives across registries, trials, outcomes research, and internal tooling.
My background spans Medicare data, risk prediction, propensity methods, dashboard development, and collaborative publication work across more than 115 papers. The more recent layer of my work is building AI products that make statistical and clinical workflows faster without lowering the bar.
Biostatistics leadership
Cardiovascular registries, clinical trials, health outcomes research, and modeling work that has to stand up to scrutiny.
AI system design
Workflow automation, retrieval systems, QA agents, and domain-specific interfaces for research and clinical operations.
Team enablement
Training analysts and researchers in AI-assisted workflows, modern coding practices, and practical tool adoption.
Education
MS Biostatistics — Georgetown University
BS Biological Sciences — University of Vermont
BA Philosophy — University of Vermont
Recognition
DCRI Innovator Award recipient in 2024 for ChatSum, a meeting-minutes AI product built to reduce coordination overhead for research teams.
Capabilities
I help organizations use AI with a bias toward working systems, clear operating constraints, and measurable usefulness. The best engagements sit at the boundary between domain expertise and implementation.
Find the highest-leverage places to introduce AI into research, operations, and analytic workflows without creating governance problems later.
Build focused applications for document processing, review, consent, summarization, and other domain-specific workflows.
Design retrieval pipelines, QA agents, and human-in-the-loop review patterns that fit regulated or research-heavy environments.
Teach teams how to use LLMs, prompt systems, automation, and coding tools in ways that are practical, safe, and repeatable.
Best fit
Research groups, healthcare operators, and product teams tend to get the most value when the work requires both analytical depth and hands-on delivery.
Typical outcomes
Clear workflow map, scoped tool concept, implementation plan, or shipped prototype.
Open source
I also build with and advise on open-source tools like OpenClaw.
The strongest work is not generic AI experimentation. It is domain-specific systems that reduce friction for research teams, reviewers, and patients.
Award-winning internal product
GPT-4o powered meeting minutes summarizer. Won the 2024 DCRI Innovator Award.
Why it matters
The best tools remove coordination overhead for clinicians, analysts, and project teams instead of adding a layer of AI theater.
Built with
More systems
Next.js app using retrieval-augmented generation (RAG) to generate Statistical Analysis Plans. Upload a protocol, receive a tailored, downloadable SAP.
CLI tool with dual-agent framework (drafting + reviewer agents) that iteratively refines SAPs against CRO/industry guidelines.
Real-time patient-facing chatbot for informed consent evaluation. FastAPI + Next.js with GPT-4o/5, evaluating 17 quality metrics for regulatory review.
Predictive calculator for hospital resource utilization during COVID — blood products, ventilation, LOS, readmission.
AI-powered content generation studio with TTS, video, and image capabilities using Azure OpenAI.
Native apps, public tools, and private systems — built from product concept through working software, with the same focus on useful, durable workflows.
iOS products
Three public TestFlight betas, plus a new family operating system in active development.
Flagship · SaaS + native iOS
A family kitchen board that brings weekly meal plans, recipes, pantry and grocery workflows, restaurant reservations, and an agent into one shared household system.
The family kitchen board
Tonight
Week plan
Recipes
Grocery
Reservations
Agent
Three daily movie games: connect actors through films, identify a movie from its cast, and place films in chronological order.
SwiftUI · Daily trivia
A playful accountability app for couples to log the little things, keep score, and settle up with cash, favors, or forgiveness.
SwiftUI · CloudKit
Daily American history briefings and trivia, with timelines, streaks, achievements, and leaderboards.
React Native · Supabase
Deployed applications
Open source
Private systems
AI-powered chatbot to help patients understand clinical trial informed consent documents.
Next.js app for GWTG statistical analysis plans using RAG.
CLI for creating statistical analysis plans with AI assistance.
PRE-EMPT chatbot for clinical trial screening and evaluation.
AI-powered content generation studio with TTS, video, and image using Azure OpenAI.
Download and organize Microsoft Teams meeting transcripts via CLI or web interface.
Web dashboard to check Azure OpenAI model capacity across regions.
This day in American history — daily trivia webapp.
The through-line is long-form analytical work paired with increasing product, mentoring, and AI implementation responsibility.
Duke Clinical Research Institute (DCRI)
Duke Clinical Research Institute (DCRI)
University of Pennsylvania, Department of Neurology
Let’s build something useful.
If you’re exploring a clinical AI workflow, an internal research tool, or a team enablement problem, send a note with enough context to make the first conversation concrete.
Consulting engagements and scoped AI tool work
Research collaboration, product strategy, and implementation planning
Speaking, team training, and workflow coaching