About Me

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

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I’m a Staff Data Scientist at Adobe and a researcher at the Immigration Policy Lab at Stanford University.

Previously, I held postdoctoral positions at UC Berkeley and Stanford. My PhD dissertation combined natural experiments with innovative statistical methods to study the wage/employment effects of immigration and the consequences of double-shift schooling systems.

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 The New York Times, The Washington Post, and The Wall Street Journal.

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Throughout my career, I’ve been fortunate to work closely with multiple mentors who were students of Nobel Prize laureates. As a way to give back, I maintain a blog that makes cutting-edge academic research in data science accessible to a broader audience.

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

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Outside of work, I’m an avid mushroom forager and mountain biker—but most of all, I love spending time with my family away from concrete. Originally from Asenovgrad, Bulgaria, I now live in the San Francisco Bay Area with my wife and our son, Luca.

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Oh, and my Erdős number is \(8\).