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

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Currently, I work as a Staff Data Scientist at Adobe Inc.

I have previously held postdoctoral positions at UC Berkeley and Stanford. In my Ph.D. dissertation, I brought together natural experiments and innovative statistical methods to examine the wage impact of immigration and the consequnces of double-shift schooling systems.

Throughout my career, I have had the privilege of being closely advised by three professors who were students of Nobel Prize laureates. To give back to the community, I run a blog that makes current academic research accessible to a broad 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.

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

Outside of work, I am an avid mushroom picker, a collector of German-made hand tools, and possess extensive knowledge and experience in the flexo-printing industry. Originally from Asenovgrad, Bulgaria, I now reside in the San Francisco Bay Area.

Oh, and my Erdős number is 8.