Gundolf graduated from the Universities of Hamburg and Goettingen, Germany, in structural bioinformatics and machine learning. He continued theoretical and experimental methods development and data analyses for biomolecular research at the European Molecular Biology Laboratory and at Stanford University. At UCSF, he leads the technical integration and automatic detection of structure within various modalities of patient-centered data, including clinical notes and genomics.
UCSF InformationCommons: Multifactor Data Science to Advance Precision Medicine
The value of data in healthcare is undeniable and realized when raw information is successfully converted into knowledge that changes clinical practice. To drive value improvements and ensure that the right patient receives the right care requires the right data in combination with the right data analytics. This session will cover various aspects and challenges of data science in hospitals and health systems that drive healthcare with better outcomes.