Affiliated Faculty
Katharina Baum
Senior Researcher
Bio
Katharina Baum is Senior Researcher heading the group Network-based Data Analysis at the Chair of Data Analytics and Computational Statistics at the Hasso Plattner Institute, and Adjunct Assistant Professor at the HPI.MS and the Windreich Department for Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai. After studying mathematics (diploma) at Humboldt University Berlin and Ecole Polytechnique, France, she obtained a PhD Fellowship from the Max Delbrück Center for Molecular Medicine in the Helmholtz Association to work on dynamic modeling of biological processes. After receiving her PhD, she conducted a two-year postdoc project in the Bioinformatics and Modeling Group at Luxembourg Institute of Health in close cooperation with Nanyang Technological University, Singapore. Therein, she developed network-based modeling approaches to analyze biomolecular multi-omics data. In 2020, Katharina joined HPI to focus on integrative data analysis method development combining networks, dynamical modeling, and machine learning. Her main interest lies in integrating multi-layered data to scrutinize intra- and intercellular molecular processes, and to predict drug response or drug-drug interactions.
Bio
Katharina Baum is Senior Researcher heading the group Network-based Data Analysis at the Chair of Data Analytics and Computational Statistics at the Hasso Plattner Institute, and Adjunct Assistant Professor at the HPI.MS and the Windreich Department for Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai. After studying mathematics (diploma) at Humboldt University Berlin and Ecole Polytechnique, France, she obtained a PhD Fellowship from the Max Delbrück Center for Molecular Medicine in the Helmholtz Association to work on dynamic modeling of biological processes. After receiving her PhD, she conducted a two-year postdoc project in the Bioinformatics and Modeling Group at Luxembourg Institute of Health in close cooperation with Nanyang Technological University, Singapore. Therein, she developed network-based modeling approaches to analyze biomolecular multi-omics data. In 2020, Katharina joined HPI to focus on integrative data analysis method development combining networks, dynamical modeling, and machine learning. Her main interest lies in integrating multi-layered data to scrutinize intra- and intercellular molecular processes, and to predict drug response or drug-drug interactions.