Prof. Karol Kozak is in charge of Biomedical Computer Science Unit at Fraunhofer Society and Medical Faculty, Dresden University of Technology. He plays a leading role in defining the strategy for organizing management of large scale medical data.
During PhD time Karol Kozak became an expert in statistical pattern recognition applied to large scale screening data. Karol Kozak has been influential in the development of image NoSQL/InMemory Databases for Industry/Life Science and data mining tools for High Throughput, High Content Screening (HCS) over the 8 years at Max Planck Institute of Molecular Cell Biology and Genetic in Dresden (Germany) and ETH Zurich (Switzerland).
He studied Computer Science and Electro-technique at the Technical University in Radom, POLAND, and Computer Science at Technical University Dresden, GERMANY. He received his Dr. rer. nat. degree from Max Planck Society in cooperation with Silesian University of Technology, POLAND.
Karol Kozak was awarded in 2012 as Junior Professor for Bioinformatics at Philips Marburg University, GERMANY . He became doctor habilitatus in the field of biotechnology. He became in 2015 a professor title at Medical Faculty, Technical University Dresden.
He has published one book, 6 books/book chapters and 52 papers in scientific journals with high impact factor in the areas of computational methods for industry and large scale biomedical data.