Cigdem Aslay started as an Assistant Professor in the Data Intensive Systems group on September 1, 2020. She received her PhD from the University of Pompeu Fabra in December 2016 under the supervision of Francesco Bonchi and Ricardo Baeza Yates. During her PhD, she was hosted by Yahoo Research Barcelona Lab as a PhD student in the Web Mining Group, working on social influence algorithms.

In 2017, she was a Postdoctoral Researcher in the Algorithmic Data Analytics Lab at ISI Foundation under the supervision of Francesco Bonchi. Before joining Aarhus University, she was a Postdoctoral Researcher in the Data Mining Group at Aalto University under the supervision of Aristides Gionis.

Cigdem's main research interest lies in devising scalable data mining and machine learning algorithms, with a sound theoretical foundation, to address real-world problems on graphs. Her work in particular focuses on algorithmic methods for graph mining and social network analysis, with an emphasis on information propagation in online social networks.