Hello

Over 10+ years as a quantitative social scientist, I learned the hard way that “good data” is rare. We grew up in the age of big data—but most of it is unstructured, scattered, and noisy. The internet has a “problem of plenty.” I built QuantSearch to cut through that noise and deliver clear, authoritative, structured data with receipts—so teams can trust, reproduce, and reuse what they find.

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I’ve earned my stripes across top research environments—Yale, Columbia, Princeton, and now Stanford—designing studies, building datasets, and mentoring teams on evidence you can defend. I’ve published in peer-reviewed venues and am the author or co-author of 10 scientific studies (published and in progress). I’ve also taught over 200 students at top universities how to turn questions into research designs, collect high-quality data, and analyze it quantitatively—training that directly shapes how QuantSearch delivers structured, audit-ready answers.

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Highlights

• Research roles at Yale, Columbia, Princeton, and Stanford

• 10 scientific studies (published + ongoing)

• Taught 200+ students research design, data collection, and quantitative analysis

• Find here my full CV

• Find here my full portfolio on my personal website

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QuantSearch is independent and not affiliated with Stanford University.