I work as a Staff Data Scientist at Adobe Inc. and the Immigration Policy Lab at Stanford University. I am also a Research Affiliate at the IZA Institute of Labor Economics.
Before this, I held postdoctoral positions at UC Berkeley and Stanford University. In my Ph.D. dissertation, I brought together natural experiments and cutting-edge econometric methods to examine the wage impact of immigration.
My expertise is applying and developing causal inference and machine learning tools to solve complex and ambiguous problems with data. I currently work on:
- utilizing product usage data to improve the Adobe Experience Cloud, and
- research projects related to economic and public health issues around immigration in the US.
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 major media outlets such as The New York Times, The Washington Post, and The Wall Street Journal.
My children’s book on causal inference reached #2 on Amazon’s New Releases in Probability and Statistics list.
My home town is Asenovgrad, Bulgaria and I live in the San Francisco Bay Area.
Oh, and my Erdős number is 8.