About

Hi! I’m an assistant Professor at the IT University of Copenhagen and a Principal Researcher & Machine Learning Lead at UNICEF. My work focuses on modeling and understanding complex societal and algorithmic systems. Currently I work on modeling, describing and predicting human behavior, auditing algorithms, and looking into data representativeness of ML & AI systems. I have a comprehensive knowledge of network science, data science, and machine learning. In addition, I am highly experienced in working with large multiplex datasets, be it behavioral traces collected via apps installed on smartphones, mobility data from CDRs, interactions between proteins within cells, scientific articles from the Web of Science, photos on Flickr, economic data from the Bloomberg Terminal, taxi rides in NYC, articles on Wikipedia, and many others.

I’m a PhD-graduate from the Department of Applied Mathematics and Computer Science at the Technical University of Denmark [pdf].

Furthermore I’m a graduate from the Niels Bohr Institute, University of Copenhagen (B.Sc, Physics 2009 [pdf], M.Sc, Physics, 2011 [pdf)