In 2014, I received my Master’s degree in Control and Automation Engineering in Istanbul, Turkey. Then I joined Midas Lab at Koç University, where I started working on developing machine learning tools with applications in cancer biology. For my PhD thesis, I developed methods for identifying contributions of different pathways to the progression of different cancer types using single-task and multitask multiple kernel learning models.
In 2021 I joined the Saez-Rodriguez group at the Heidelberg University, as a postdoctoral researcher, focusing on developing and applying methods to integrate diverse single-cell transcriptomics and spatial data.
My research interests include machine learning, computational biology, applied optimization, large-scale optimization, and the problems that lie at the intersection of these areas. The core ingredient of my research revolves around developing computationally efficient machine learning tools for integrating multiple data sources and identifying patterns in the data that can be exploited to deliver biological insights.
My current research agenda includes the integration of novel machine learning solutions into single cell analysis. My main focus is to uncover underlying mechanisms of these biological systems, possibly by incorporating prior knowledge, using my machine learning and optimization background.
|2021-present||Postdoctoral fellow at Heidelberg University|
|2020-2021||Postdoctoral fellow at Koç University|
|2014-2020||PhD in Industrial Engineering and Operations Management, Koç University, Istanbul, Turkey|
|2011-2014||MSc in Control and Automation Engineering, Istanbul Technical University, Istanbul, Turkey|