About Me

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

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I’m currently a Staff Data Scientist at Adobe.

Previously, I held postdoctoral positions at UC Berkeley and Stanford. My PhD dissertation (2017) combined natural experiments with innovative statistical methods to study the wage/employment effects of immigration and the consequences of double-shift schooling systems.

Throughout my career, I’ve been fortunate to work closely with 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.

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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, among many others.

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 picker 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 \(8\).