Professional Summary

I am a technology leader with over 25 years of experience driving enterprise-wide transformation in mission-critical, highly regulated environments, with specialized expertise in medical research IT infrastructure, clinical systems, and translational research data management.

My unique strength lies in bridging the gap between cutting-edge research objectives and the robust, compliant technology infrastructure needed to achieve them. Having collaborated directly with research physicians, I understand the intricate challenges facing Principal Investigators running grant-funded studies in rare diseases like lipodystrophy, T2 diabetes research, and complex translational medicine initiatives.

I excel at transforming fragmented data environments into integrated, analysis-ready platforms that accelerate discovery while maintaining the highest standards of regulatory compliance and data integrity. My approach ensures that technology becomes an enabler of groundbreaking research rather than a barrier to scientific progress.

Key Achievements

Medical Research Technical Expertise

Technical Expertise

Hands-on experience across every major IT discipline provides credible leadership:

• Sovereign AI Architecture: Open-weight model deployment, biomedical fine-tuning, federated learning, IRB-aware governance, FDA Part 11 audit trails.
• Research Platforms: REDCap, LIMS, research registries, EHR integration.
• Data Standards: OMOP, HL7/FHIR, FAIR principles, clinical data interchange.
• Cloud & Infrastructure: AWS/Azure/GCP research enclaves, sovereign-cloud regions, secure data lakes, disaster recovery.
• Security & Compliance: HIPAA, IRB, FDA 21 CFR Part 11, NIST AI RMF, encryption, audit trails.
• Analytics & AI: R/Python pipelines, machine learning for clinical research, biostatistics, AI model governance.

Sovereign AI for Medical Research

I help research programs adopt AI on terms that align with their IRB protocols, grant terms, FDA expectations, and institutional data governance — not the AI vendor's terms. Most research AI projects stall in the gap between PI ambition and compliance reality. Bridging that gap is core to my work.

Capabilities

• Multi-modal research data integration — clinical, omics, imaging unified under sovereign control.
• Cohort analysis & rare disease modeling — federated across collaborating sites without raw data movement.
• Literature synthesis & evidence review — without exposing study data to commercial AI.
• IRB-aware AI governance frameworks — model registry, versioning, audit trails aligned to your existing IRB administration.
• Federated learning for multi-site cohorts — share insights, not data. Honor HIPAA, IRB, DUA, and consent boundaries.
• Reproducibility infrastructure — model lineage tied to published findings. Survives vendor model deprecations.
• Grant compliance — data governance plans that satisfy NIH, NSF, DARPA, DOE terms.

Sovereign AI is not anti-AI. It is the discipline of deploying AI where institutional control over patient data, model lineage, and reproducibility are non-negotiable — exactly the environments that medical research demands and where the stakes (patient safety, scientific integrity, public trust) are highest.

Read the Sovereign AI deep-dive →

Leadership Philosophy

Technology in medical research should be an enabler, not a barrier. My approach centers on:

• Research-First Design: Every technical decision serves the ultimate goal of advancing scientific knowledge and improving patient outcomes.
• Compliance as Foundation: HIPAA, IRB, and FDA requirements are the bedrock of trustworthy research infrastructure.
• Team Empowerment: Building technical literacy across research teams while respecting the expertise each member brings.
• Operational Excellence: Ensuring 99.99%+ uptime and robust disaster recovery so research never stops due to technical failures.
• AI Governance & Sovereignty: Ensuring research institutions maintain control over their AI infrastructure, data residency, and model auditability rather than depending on external providers.

Ideal Client Focus

I specialize in partnering with grant-funded PIs running translational or clinical research labs who are struggling to operationalize data, software, and computational workflows beyond what their academic IT can support.

Perfect Fit Indicators:

• Leading labs focused on T2 diabetes or rare metabolic disorders
• Facing grant renewal pressure with technology modernization needs
• Seeking to transition from ad-hoc scripts to robust, scalable platforms
• Requiring FDA-ready systems for clinical trial advancement
• Multi-site research collaboratives requiring seamless data integration across institutions

Why Research Teams Trust Me

• Scientific Credibility: Deep understanding of translational research workflows and regulatory environments
• Proven Track Record: 25+ years of hands-on experience with zero compliance violations across regulated industries
• Collaborative Approach: Work as an extension of your research team, not an external vendor
• Mission Alignment: Genuinely committed to advancing medical research and improving patient outcomes

Core Competencies for Medical Research

Background

Over 25 years of enterprise technology leadership in mission-critical, highly regulated environments. Recognized for synthesizing complex information, anticipating outcomes, and guiding cross-functional teams through responsible scaling of technology initiatives.

My defining strength is the unparalleled breadth of hands-on experience across nearly every major IT discipline from SQL Administration and Network Engineering to Cloud Architecture and Automation. This technical depth enables me to "speak the language" of every team member and offer guidance that is both practical and respected.