Nathan Seltzer

With over 10 years of experience in both industry and academia, I specialize in designing actionable AI and data science workflows that turn complex data into strategic advantage.

I work as a Senior Data Scientist at a leading S&P 500 company, where I build AI and machine learning models that shape large-scale business strategies.

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 Development Review, 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,