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Personal profile

Research interests

I am currently working on deep learning applications for understanding the underlying genetic features causing Amyotrophic Lateral Sclerosis (ALS), a neurodegenerative neuromuscular disease. My research focuses on machine learning, deep neural networks and genetics. 

Previously, I have developed interest in the domains of mathematical modeling, complex systems, system dynamics, agent-based simulation and network science during my undergraduate graduate studies in industrial engineering.


In 2017, I obtained my BSc degree in Industrial Engineering from Boğaziçi University in Istanbul, Turkey. I spent a semester at McGill University as an exchange student in 2015 in Montréal, Canada. 

During my masters, I worked as a TA and assisted several undergraduate and graduate courses as a member of Socio-Economic System Dynamics Research Lab. In the meantime, I steered my interest in applied research for machine learning and network science in collaboration with H3M, to fight money laundering at the intersection of graph theory and machine learning. I finished my MSc in 2020 with the thesis title "Network-Based Methods for Anti-Money Laundering".

Current courses

Click here for my courses.

Education/Academic qualification

Other, Master’s Degree, Network-Based Methods for Anti-Money Laundering, Boğaziçi University

15 Sept 201715 Sept 2020

Award Date: 15 Sept 2020

Other, Bachelor’s Degree, Industrial Engineering, Boğaziçi University

23 Sept 201315 Jun 2017

Award Date: 15 Jun 2017


  • Deep learning
  • Genetics
  • Machine Learning
  • Simulation
  • Networks
  • System Dynamics
  • Modeling