Robert Grossman is a faculty member at the University of Chicago, where he is the Director of Informatics at the Institute for Genomics and Systems Biology (IGSB), a Senior Fellow at the Computation Institute, and a Professor of Medicine in the Section of Genetic Medicine. His research group focuses on bioinformatics, data mining, cloud computing, data intensive computing, and related areas.
He is also the Founder and a Partner of Open Data Group. Open Data Group has provided strategic consulting and outsourced services in analytics since 2002. It specializes in building predictive models over big data.
- From 2009 to the present, he has been a member of the NASA Advisory Council (NAC)’s Information Technology Infrastructure Committee.
- From 2008 to the present, he has been the Director of the Open Cloud Consortium (OCC).
- From 1998 to 2010, he was the Director of the Data Mining Group, which develops the Predictive Model Markup Language.
- He is a Member of the Board of Directors of the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) for the term 2005-2007, 2007-2009 and 2009-2011.
Recent Awards
- Pritzker Scholar, University of Chicago, 2011
- Overall Winner, SC 09 Bandwidth Challenge. Maximizing Bandwidth Utilization in Distributed Data Intensive Applications, was the Overall Winner in the Bandwidth Challenge at the ACM/IEEE International Conference for High Performance Computing and Communications 2009 (SC09).
- First Place, SC 08 Bandwidth Challenge. Towards Global Scale Cloud Computing: Using Sector and Sphere on the Open Cloud Testbed won First Place in the Bandwidth Challenge at the ACM/IEEE International Conference for High Performance Computing and Communications 2008 (SC08).
- First Place, SC07 Analytics Challenge. Angle: Detecting Anomalies and Emergent Behavior from Distributed Data in Near Real Time won First Place at the Analytics Challenge at the ACM/IEEE International Conference for High Performance Computing and Communications 2007 (SC07).
- ACM SIGKDD 2007 Service Award for “… the development of open and scalable architectures and standards for the SIGKDD and Global KDD Communities.” SIGKDD is the ACM’s professional group on Knowledge Discovery and Data Mining.
- First Place, 2007 Data Mining Practice Prize. A project I led was awarded First Place in the 2007 Data Mining Practice Prize at the ACM Conference on Knowledge Discovery and Data Mining (KDD 2007).
- First Place, SC 06 Bandwidth Challenge. Distributing the Sloan Digital Sky Survey Using Sector won First Place in the Bandwidth Challenge at the ACM/IEEE International Conference for High Performance Computing and Communications 2006 (SC06).
- First Place, SC 05 Analytics Challenge. The project Real Time Change Detection of Highway Sensor Data won First Place in the Analytics Challenge at the ACM/IEEE International Conference for High Performance Computing and Communications 2005 (SC05).