Most people don't track data, run strategic analyses, or build frameworks, not because they don't want to, but because it's costly, and it takes a skillset built over time to do it well.

I built that skillset across three decades and three industries. It started in life science commercialization, where I spent two decades reading clinical trial data, real-world evidence, and diagnostic outcomes, then translating that complexity into decisions that mattered: for field sales teams I trained and coached, for physicians and surgeons making adoption choices, for payers and hospital systems evaluating value. Data presented to a surgeon in an Operating Room suite has no margin for ambiguity. You learn to read it precisely, or you lose the room.

That discipline followed me into commercial real estate, where I completed the full CCIM designation curriculum, the analytical core of investment and use decisions across retail, office, industrial, and multifamily assets, built on the same institutional rigor underwriters use. Different data, same discipline: evidence first, intuition second, decision third.

The MBA at Boston University's Questrom School of Business added the third layer — managing performance with data as a formal strategic capability, not just a field skill.

This page is where that discipline shows its work. Below are analyses built on that foundation, across life sciences, commercial real estate, and the broader strategic questions that sit underneath both.

Featured Analyses

Five Years of Florida Commercial Real Estate (2020–2024) A five-year trend analysis across Florida's CRE market — investment activity, sector shifts, and what the data suggests for the next cycle.

Healthcare Innovation and Emerging Life Science Hubs Where life science innovation is concentrating geographically, and why it matters for investment, hiring, and partnership decisions in the sector.

Health is the Ultimate Wealth: Florida's Health Systems A structural look at Florida's hospital and health system infrastructure, sized against the state's population growth.

Methodology & Sources

The analyses above draw on primary data from sources including the U.S. Census Bureau, Bureau of Labor Statistics, Federal Reserve, U.S. Treasury, and CIA World Factbook — the same institutional data underwriters, investors, and strategists rely on, applied with the same rigor regardless of industry.

This page focuses on data-driven analysis; for the broader strategic frameworks behind that work, see Leadership & Journey.

United States Census Bureau

Population

https://www.census.gov/quickfacts/qfd/index.html

North American Industry Classification System

https://www.census.gov/naics

U.S. Bureau of Labor Statistics

Employment (Local)

http://www.bls.gov/eag/

Employment Situation Summary

https://www.bls.gov/news.release/empsit.nr0.htm

Employment Labor Trends

https://www.bls.gov/news.release/empsit.t17.htm

Quarterly Census of Employment and Wages (Data Viewer)

https://data.bls.gov/cew/apps/data_views/data_views.htm#tab=Tables

Federal Reserve Bank Selected Interest Rates (Daily)

https://www.federalreserve.gov/releases/h15/

US Department of Treasury; Daily Treasury Bill Rates

https://home.treasury.gov/resource-center/

Have a question about analysis, or the methodology behind it? I'd welcome the conversation.