I develop and apply causal inference and machine learning tools to solve complex and ambiguous problems with data.

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I work as a Staff Data Scientist at Adobe Inc. and the Immigration Policy Lab at Stanford University, and I am also a Research Affiliate at the IZA Institute of Labor Economics.

My academic research has been published in leading peer-reviewed journals in labor economics, political science, medicine, and general science and has been featured by most major media outlets such as The New York Times, The Washington Post, and The Wall Street Journal.

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My children’s book on causal inference reached #2 on Amazon’s New Releases in Probability and Statistics list.

I previously held postdoctoral positions at UC Berkeley and Stanford University. In my Ph.D. dissertation, I brought together natural experiments and innovative econometric methods to examine the wage impact of immigration.

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My hometown is Asenovgrad, Bulgaria and I live in the San Francisco Bay Area.

Oh, and my Erdős number is 8.