Oliver Ruebenacker
About Oliver Ruebenacker
Oliver Ruebenacker is a Senior Software Engineer at the Broad Institute, specializing in software that connects medical conditions with germline mutations. He holds a PhD in Physics from the University of Massachusetts Amherst and has previously worked as a Solutions Architect at Altisource Labs and as a Research Associate at the University of Connecticut Health Center.
Work at Broad Institute
Oliver Ruebenacker has been employed at the Broad Institute since 2015, serving as a Senior Software Engineer. His role focuses on creating software that connects medical conditions with germline mutations. He works within the Program for Population and Medical Genetics, contributing to advancements in genetic research and medical applications.
Previous Experience at Altisource Labs
Prior to his current position, Oliver Ruebenacker worked at Altisource Labs as a Solutions Architect from 2014 to 2015. His tenure lasted for 10 months in the Greater Boston Area, where he contributed to software solutions within the organization.
Research Associate at University of Connecticut Health Center
Oliver Ruebenacker served as a Research Associate at the University of Connecticut Health Center from 2005 to 2012. His seven years in this role involved conducting research in the field of medical genetics, furthering his expertise in the intersection of software development and healthcare.
Educational Background in Physics
Oliver Ruebenacker holds a Doctor of Philosophy (PhD) in Physics from the University of Massachusetts Amherst, where he studied from 1999 to 2005. He also earned a Master of Science (M.S.) in Physics from the same institution, completing his studies from 1999 to 2001. Additionally, he obtained a Master's degree in Physics from the Karlsruhe Institute of Technology (KIT) between 1994 and 2000.
Development of Diabetes Portal Software
In his role at the Broad Institute, Oliver Ruebenacker developed software for the Diabetes Portal. This platform is designed to convert genetic samples and medical histories into actionable medical knowledge, facilitating better understanding and management of diabetes.