Samir Courdy
Senior Vice President and Chief Informatics Officer
City of Hope Comprehensive Cancer Center
 

Samir Courdy has a very diverse background in computer science and software engineering. His breadth of expertise, training, and knowledge serves him well in ensuring the successful implementation of this multi-institution research collaboration. He is responsible for all aspects of software development, and implementation of real world solutions focused on the delivery of precision medicine powered by real world data and evidence. To that end, developing integrated solutions for clinical, translational, basic, and population sciences research has been part of what he has delivered for the last 22 years serving as Chief Research Informatics Officer at Huntsman Cancer Institute (HCI).  

For the past 3 years, this experience has served him well in doing so at the City of Hope Comprehensive Cancer Center.  He serves as the Senior Vice President for Informatics leading the Center For Informatics. Samir works very closely with the members of the Executive Leadership, members of the Senior Leadership, Research and Clinical Faculty to develop strategic plans to meet the growing needs of the organization. He aims to meet the needs and requirements of the Cancer Center, provide guidance and plan effort for each project, run coordination meetings, manage staff, and provide strategic direction for design, architecture, projects, and technology. 

Samir oversees clinical, basic, translational, and population science research applications and database development; as well as developing bioinformatics tools and algorithms to support principal investigators in their research. To that end, he conceived the design and architecture for the POSEIDON data lake and research platform. This solution provides tools for cohort exploration, data visualization, capabilities and environments for machine learning, and artificial intelligence.

Samir holds a patent on data representation and modeling as well as several publications in cancer informatics, and data science specifically in natural language processing.