I work as a senior data scientist in industrial real estate but my training is in the computational social sciences. I have over 10 years of experience leveraging data science tools and methodologies to conduct scientific research in both industry and academic settings.

I hold a PhD in sociology from the University of Wisconsin-Madison and completed my postdoctoral training in computational demography at the University of California, Berkeley. My academic research examines how economic change shapes social and demographic processes and has been published in journals such as Social Forces, Demography, Population and Environment, and SSM – Population Health.

My research has been covered by The New York Times and The Washington Post and I had the opportunity in 2020 to speak at a United Nations expert group meeting on the demographic consequences of Covid-19.

Prior to my advanced academic training, I received a BA in Sociology and French from Tulane University and a MA in Applied Quantitative Research from New York University.


 

Nathan Seltzer, , 2020