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Knowledge Discovery and Data Mining focuses on the process of extracting meaningful patterns from biomedical data (knowledge discovery), using automated computational and statistical tools and techniques on large datasets (data mining).

Its underlying goal is to help humans make high-level sense of large volumes of low-level data, and share that knowledge with colleagues in related fields. It can involve methods for data preparation, cleaning, and selection, use of appropriate prior knowledge, development and application of data mining algorithms, and proper results analysis.

It engages methods from such diverse areas as machine learning, pattern recognition, database science, statistics and analytics, artificial intelligence, knowledge acquisition for expert systems, data modeling and visualization, and high performance computing.



Profile image for Ying Li, Ph.D.

Ying Li, Ph.D.

Chair 2023-2024
Associate Director
Regeneron Pharmaceuticals
Profile image for Zhe He, PhD, FAMIA

Zhe He, PhD, FAMIA

Vice Chair 2023-2024
Associate Professor & Informatics Lead
Florida State University
Profile image for Lixia Yao, PhD

Lixia Yao, PhD

Past Chair 2023
Associate Professor
Temple University
Profile image for Hilda Klasky, MS

Hilda Klasky, MS

Secretary 2023-2024
Senior R&D Staff
Oak Ridge National Laboratory (ORNL) - UT Battelle