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 would like to join the DDSA Mentoring Program as a mentor because I believe in the value of guidance and knowledge sharing. I am passionate about helping young and aspiring data scientists achieve their personal and professional growth. Mentoring not only benefits the mentees but also offers me the opportunity to grow. Engaging with mentees brings fresh perspectives, encourages the exchange of ideas, and helps expand my professional network both within and beyond the academic community.

Skills, expertise, and interests

• data science
• machine learning
• artificial intelligence
• statistical and data modelling
• bioinformatics
• network science