Özgür Demir

For Ottobock I have defined a modern data architecture from an technological, governance as well as compliance point of view. The whole data architecture is based upon the Azure Cloud using products such as Azure Data Lake Gen 2, Databricks and Azure Machine Learning.Furthermore I am leading a team which is implementing the defined solution and building digital data driven products on top of it.

I defined DBI’s data vision and implemented their data platform on the Google Compute Platform.I have implemented existing as well as new bioinformatical algorithms to efficiently preprocess mass spectrometry data.I have used the implemented preprocessing algorithms on existing breath measurements to develop machine learning models which predict the blood level concentration of a particular drug.The implemented algorithms and infrastructure will enable DBI’s researchers to rapidly analyze new mass spectrome

Activities and Societies: • Development of a Java based machine learning library (DemPRED) • Application of the DemPRED library on various bioinformatical prediction tasks • Development of new classification, regression, feature selection and clustering algorithms • web services for QSAR prediction