Hi there, my name is Peter.

I'm a computational social scientist and data storyteller with a focus on urban planning, climate change, and real estate. I leverage quantitative research to derive insights that shape policy and drive impactful decisions. My experience spans both the public and private sectors, including academia, government, and fintech. Currently based in New York City, I've embraced the fact that I'll never be a morning person.

  • R (Markdown, Shiny, Tidyverse), GIS, d3.js, PostgreSQL, Python, Stata

  • statistical programming, econometrics, machine learning, geospatial analysis, causal inference, information visualization, data storytelling

    housing, affordability, real estate, socioeconomics, vulnerable populations, urban planning, finance, development, risk, climate, environment

  • MS, Public Policy, 2020, NYU

    MA, Applied Quantitative Research, 2018, NYU

    BA, Psychology & Sociology, 2014, University of Colorado Boulder