Having worked as a PhD student since September 2020 at Tilburg University under the supervision of Marleen Balvert and Hein Fleuren, I am working on deep learning applications for understanding the underlying genetic features causing Amyotrophic Lateral Sclerosis (ALS), a neurodegenerative neuromuscular disease. Our goal is to build deep learning architectures in accordance with genetic data structures, that can contribute towards not only to an accurate ALS diagnosis model but also the interpretability of the results. Both the challenge and the thrill of this project lie in untangling black box structures in the hope of discovering unexplored parts of our genome. 

This PhD project is funded by ALS Foundation and externally supervised by Alexander Schönhuth from Bielefeld University and Jan Veldink from University Medical Center Utrecht.  

Expected graduation date:  01-09-2024.


CV Gizem Taş

I have developed expertise in the domains of mathematical modeling, complex systems, system dynamics, agent-based simulation and network science during my graduate studies and and duties as a teaching assistant in the Department of Industrial Engineering at Boğaziçi University.

I was born and raised in Ankara, Turkey. I obtained my BSc degree in Industrial Engineering from Boğaziçi University in Istanbul. 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".


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