Hello and welcome!
I’m a data scientist who explores consumer behavior. I use a mix of computationally intensive methods, experiments, and human feedback to refine growth tactics: product/feature selection, ads, pricing, conversion, and market segmentation.
Until April 2024, I was the CEO and Co-founder of Sleuth. Sleuth was an app and website that provided running feedback to parents about their kids’ development using machine learning and data covering 250 topics. As part of this work, more than 60,000 parents contributed 1.25 million answers between 2022 and 2023.
Before Sleuth, I managed data science teams at Squarespace and One Zero Capital and was a Data Scientist in Residence at IDEO. I have a BA from Yale University in Political Science and a PhD in a mix of economics, statistics, and applied psychology from Wharton Business School.
Personal life
I live in New York City on the Upper East Side with my wife, daughter and two vocal cats.
In my free time, I enjoy reading biographies, swimming (badly), and coding projects for pure entertainment. I also created and lightly oversee a meetup called NYC AI Hackers that runs events exploring data science and AI applications.
Get in touch by sending me a note.