I managed the Discover product within Mayo Clinic’s nSights platform, enabling clinicians, researchers, and industry partners to securely explore and analyze large-scale clinical datasets. The platform supported population health studies, predictive analytics, and advanced research use cases.

• Users: Clinicians, researchers, data scientists, and external partner organizations.

• Use Cases: Cohort discovery, early disease detection, predictive modeling, and health equity research.

• Value I Brought:

  • Defined product requirements and adoption strategies for Explore and Premium tiers.

  • Partnered with cross-functional teams to ensure compliance, scalability, and usability.

  • Helped external partners derive insights that advanced both research and patient care.

I researched and presented the value of digital twins to medical directors, demonstrating how simulated patient models could support clinical decision making and improve care planning.

• Users: Physicians, medical directors, and researchers.

• Use Cases: Predicting outcomes, evaluating treatment strategies, and enhancing precision medicine.

• Value I Brought:

  • Built executive-level presentations that translated complex concepts into clinical value.

  • Drove alignment around digital twin adoption as a future-ready capability.

  • Showcased Mayo Clinic’s leadership in applying AI to clinical decision support.

I developed cost of goods sold (COGs) and pricing analyses for Discover Explore within the provider market, including MCCN and the Digital Foundations Program.

• Value I Brought:

  • Built financial models to inform pricing decisions.

  • Collaborated with finance and commercialization to align on revenue strategy.

  • Supported go-to-market planning with data-driven cost insights.

I authored a market readiness framework for Discover Explore in the solution developer market.

• Value I Brought:

  • Identified adoption requirements and success measures for this market.

  • Ensured alignment across commercialization, engineering, and partner stakeholders.

  • Positioned Mayo Clinic to expand Discover to new audiences.

I managed the integration of generative AI services into nSights workspaces, enabling AI-powered workflows such as summarization and search.

• Value I Brought:

  • Authored requirements for scalable AI integration.

  • Collaborated with engineering and governance teams to ensure compliance.

  • Enhanced the usability of nSights by embedding advanced AI features.

I created a cost tracking dashboard for Discover to monitor cloud spend and improve transparency for stakeholders.

• Value I Brought:

  • Partnered with engineering and governance teams to capture accurate usage data.

  • Delivered visibility that informed budget management and resource allocation.

  • Improved trust and efficiency in cloud operations.

I led the integration of GitLab into Discover for source control and collaboration.

• Value I Brought:

  • Coordinated across engineering, program management, UAT, and commercialization teams.

  • Delivered functionality that enabled reproducibility and transparency in analytics workflows.

  • Increased user adoption by aligning platform capabilities with developer expectations.

I developed educational materials and video tutorials for the RISE module’s cohort visualizer.

• Value I Brought:

  • Partnered with analytics and education teams to deliver training content.

  • Improved user understanding and adoption of the cohort visualizer.

  • Enhanced customer experience through guided education.

I led the integration of import processes into the RISE module for Discover.

• Value I Brought:

  • Defined workflows for data imports and validation.

  • Partnered with analytics, education, and implementation teams.

  • Improved usability and adoption by simplifying data workflows.

I managed the integration of the AI Studio learning module into RISE.

• Value I Brought:

  • Provided educational access to generative AI tools.

  • Collaborated with training and education teams to align content.

  • Strengthened platform adoption by embedding AI into education modules.

I created the process for structured release notes to improve communication across product updates.

• Value I Brought:

  • Defined repeatable release communication workflows.

  • Partnered with support, education, and analytics teams to ensure clear messaging.

  • Increased transparency and adoption through better customer communication.