Eric W. Klee

Eric W. Klee, Ph.D., is a Professor of Biomedical Informatics at Mayo Clinic, leading translational research in omics data integration and precision medicine. He holds key roles including Scientific Director of Research Data and Digital Innovation, Enterprise Co-Leader of Cancer Informatics & Data Science at the Mayo Clinic Comprehensive Cancer Center, and Director of Digital Omics in the Center for Individualized Medicine. His work focuses on rare disease diagnosis, genomic data infrastructure, and machine learning applications in healthcare.

Education:

• Ph.D. in Health Informatics, University of Minnesota
• MS in Health Informatics, University of Minnesota
• BS in Electrical Engineering, Iowa State University

Research Interests: Dr. Klee’s research integrates multi-omics profiling, AI-driven analytics, and cloud-based platforms to advance diagnostics and treatment for rare genetic disorders. He leads initiatives like RADIaNT (RNA sequencing for rare diseases), SAVI (automated variant interpretation), and RENEW (continuous genomic data reanalysis). His work bridges lab discoveries with clinical practice, emphasizing precision medicine and scalable genomic solutions.

Publications Trends: His recent work highlights RNA-based diagnostics, AI in variant prioritization, and infrastructure for population-level genomic screening. Key areas include drug repositioning for tobacco dependence and molecular mechanisms of Mendelian diseases.

Awards:

• Research Award from the Minnesota Partnership for Biotechnology and Medical Genomics (2023)

Advising & Grants: Leads the Mayo Clinic’s Digital Omics initiative and co-leads cancer informatics efforts. His lab collaborates on NIH-funded studies and industry partnerships to translate genomic insights into clinical tools.

Labs/Teams: Directs the Advanced Diagnostics Laboratory’s bioinformatics team and chairs the Undiagnosed Diseases Network International board, fostering global rare disease research collaboration.