Sven Giese

Sven Giese is a Machine Learning Researcher at Bayer since February 2022, focusing on optimizing modalities through machine learning and software engineering, utilizing diverse data sources and machine learning tools, particularly in antibody and nanobody engineering. Prior to this role, Sven Giese held a postdoctoral position in Data Analytics and Computational Statistics at the Hasso Plattner Institute and worked as a Wissenschaftlicher Mitarbeiter at Technische Universität Berlin, where computational analysis of mass spectrometry data was conducted during a PhD. Earlier experiences include a research associate position at The University of Edinburgh and data analysis internships at the Robert Koch Institute, specializing in next-generation sequencing and mass spectrometry data. Sven Giese holds a Master's and Bachelor's degree in Bioinformatics from Freie Universität Berlin.