Tools I've built to solve real problems in clinical research — from protocol design to patient stratification. Each is live and available for testing.
An AI-powered system that analyzes inclusion/exclusion criteria across clinical trial protocols to identify enrollment bottlenecks and suggest optimizations. It cross-references real-world patient data with protocol requirements to predict feasibility and maximize recruitment rates — turning weeks of manual analysis into minutes.
An analytics platform for biomarker discovery, validation, and clinical trial stratification. It surfaces actionable insights from biomarker datasets to help researchers identify patient subpopulations, validate therapeutic hypotheses, and design smarter stratification strategies for precision medicine trials.
A platform for building, analyzing, and digitizing clinical trial protocols. ProtocolIQ helps teams design effective Schedules of Assessments (SOA), quantify patient and site burden, and optimize protocol complexity — enabling smarter, leaner trials from the start.