Background

I am an assistant professor at Aalborg University working in the intersection of machine learning, and graph theory. My academic journey began with a Bachelor’s degree in Mathematics from Bogazici University, followed by a Master’s degree at the same university. I obtained my Ph.D. degree from Paris-Saclay University, and during my doctoral studies, I was interested in the representation learning methods for predictive graph-structured data and published several papers in high-impact journals and conferences. At Aalborg University, I have been working on the metagenomics binning problem and on the integration of heterogeneous environmental factors with bacterial genome data. I also teach a course including various topics of machine learning and data science, and I supervise both undergraduate and graduate students.

Motivation

I joined the DDSA mentoring program in 2024 and found it a nice way to support and connect with other researchers. Mentoring gives me the opportunity to share my own experience, offer guidance, and support younger researchers as they navigate their academic and professional journeys. Personally, I also find it very rewarding.

Skills, expertise, and interests

• • machine learning
  • artificial intelligence
  • statistical and data modelling
  • problem solving
  • network science
  • statistics and mathematics