Head of Research · Clearwater Analytics
Macroeconomist and data strategist.
Bridging the gap between macro and proprietary data, my research features regularly in the financial press.
Bio
I am Head of Research at Clearwater Analytics, where I built the firm's first proprietary databases from the holdings, performance, and transactions data of thousands of institutional investors across more than $10 trillion in assets. I created and operate our Research Desk; manage a team of data scientists; present regularly to clients and prospects; and work alongside the product and marketing teams to deliver industry leading benchmarks, indices, and insights.
My background is in macroeconomics and portfolio strategy. I previously served as an Economist (Director) at Boston Consulting Group and worked in a family office as a research associate. I began my career in the public sector at the Controller's Office for the City of Philadelphia.
I also moonlight as a fiction writer. My short stories have appeared in literary magazines like The Yale Review and The Virginia Quarterly Review. My debut short story was awarded the Dau Prize from PEN America.
- Education
- Harvard College 2017 BA, English concentration; Economics secondary
- The London School of Economics 2020 MSc, Economics and Management
Broadcast Interviews
Features and Commentary
No matches.
Research Samples
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Summer 2026
Credit Where It’s Due: The Persistent Rise of Private CreditFindings appeared on the front page of The Wall Street Journal.PDF
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Winter 2025
Outlook ’26: A Data-Driven Take on an Economy That (Still) Wants to Hang OnFindings appeared in Bloomberg.PDF
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Summer 2025
The Fed Has the Tools to Fight Stagflation. The 1970s Aren’t Coming Back.Appeared in the weekend print edition.PDF
Philosophy
Economic insights rarely break through the noise of redundant commentary. This isn't because experts lack for independence or skill. On the contrary, I've found weak analyses usually stem from three truths: 1) Pessimism sells, 2) Economists aren’t always the best communicators, and 3) Like a good partner, good data is hard to come by.
I've made it my career to bridge social science and the humanities, pairing economic knowledge and technical tools with a love of literature, both reading and writing. In practice, that means building narratives grounded in data, then finding the most compelling way to reach an audience. Whether that audience is the C-suite or the general public, my rules are the same: no pessimism or sensationalism, but powerful charts and visuals, good plot and prose, and a firm voice of authority. In a world of AI slop, quality will only get easier to spot.