Erdogan Taskesen

I work at the Ministry of Infrastructure and Water Management of the Netherlands. Currently, I lead a team of data scientist, Business Intellgence and automation. We work on various topics related to the mission of IenW.

I am experienced in the development of statistical and machine learning methods that can work in real-world applications. Before, I worked in the cybersecurity sector and as Data Science consultant (BigDataRepublic) in among others the financial (ING), telecom (KPN), flight (KLM).

During my academic years I worked as a post-doctoral researcher at Delft University of Technology, and later at the VU University Medical Center, VUmc. I worked on the statistical development of methods for the analysis of cancer genomics and the genetics of Neuroscience. My Ph.D. was at the Erasmus University Medical Center, Department of Hematology in colloboration with Weill Cornell Medicine where I developed statistical methods for patient stratification with Acute Myeloid Leukemias.

My interest are especially in the statistics behind machine learning, and customizing models to let it work in real-world applications. As an example, we use deeplearning techniques for the detection of objects using satellite images or detection of trucks with dangerous goods. Currently, I am working on explainable AI, causality models, and cyber-security.

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