I am an assistant professor at the Center for Collective Learning, and at the Institute of Data Analytics and Information Systems at Corvinus University in Budapest, Hungary.

My research lies at the intersection of computational social science, gender studies, and human-machine interaction. Using interdisciplinary approaches from network and data science, I investigate how networks induce inequalities. For example, I study the impact of networks and diversity on scholarly communication, the impact of artificial agents on human collaborations, and how minorities can utilize their personal networks to succeed in technical fields. I love teaching programming and data science courses for students with non-technical backgrounds since I believe these skills can be learned by anyone.

I received my Ph.D. in Network & Data Science from the Central European University in Budapest, Hungary. Prior, to joinnnig CCL I was a postdoctoral fellow at at the NETI Lab, the CEU Democracy Institute, the CIM, at the University of Warwick, Coventry, UK, and a visiting research fellow at LINK Lab Northwestern University, IL, USA. I have been an ambassador of the Women in Data Science (WiDS) Conference in Budapest and have organized two live Budapest-based conferences as well as the first Central-Eastern European WiDS Conference online. I am a proud alumna of the Data Science of Social Good Fellowship and an external researcher at the LINK Lab at Northwestern University.