Selected work
A body of work spanning the life sciences, digital health, applied AI, and data intelligence — shown here at a high level. Engagement details are kept confidential.
Autonomous analysis agents that turn natural-language requests into approved, reproducible pipelines; decision-support that aligns computation with the outcome a lab actually measures; AI-driven matching of scientific needs to capabilities; and large, curated libraries of biomedical agent skills spanning clinical, genomics, and drug-discovery domains.
Remote patient-monitoring and care-coordination systems, standards-based clinical data integration, and hybrid scoring that combines deterministic rules with LLM-generated narratives — built with privacy and compliance as first-class concerns.
Multimodal, knowledge-grounded agents for content generation; lead-generation and outreach automation; and source-to-finished pipelines that transform raw feeds into polished, distributable material.
Web-scale data extraction paired with AI analysis and visualization, geospatial intelligence, and risk- and impact-scoring tools — all delivered on production cloud infrastructure.
Outcome-framed and anonymized — no project, partner, or client names.
A natural-language-to-pipeline agent with a plan → approve → execute loop and full reproducibility for every run.
Machine-learning triage that aligns computation with the measured outcome an experimental team actually cares about.
AI agents that scope a scientific request and match it to the right capabilities from a structured knowledge base.
A large, curated collection of clinical, genomics, and drug-discovery agent skills.
Remote monitoring plus standards-based clinical data on compliant, production-grade infrastructure.
Deterministic rule-based scoring combined with LLM-generated narrative reports.