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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
Regeneron Pharmaceuticals
Profile image for Hu Huang, Ph.D., ACHIP, FAMIA

Hu Huang, Ph.D., ACHIP, FAMIA

Vice Chair 2024-2025
Associate Director, New Technologies
Astellas Pharma Global Development, Inc.
Profile image for Zhe He, PhD, FAMIA

Zhe He, PhD, FAMIA

Chair Elect 2024
Associate Professor & Informatics Lead
Florida State University
Profile image for Amelia Averitt, MPH, MA, PhD

Amelia Averitt, MPH, MA, PhD

Member-at-Large 2024-2025
Senior Manager, Clinical Informatics
Regeneron Pharmaceuticals
Profile image for Hilda Klasky, FAMIA

Hilda Klasky, FAMIA

Secretary 2023-2024
Senior R&D Staff
Oak Ridge National Laboratory (ORNL) - UT Battelle
Profile image for Kayla Schiffer-Kane, MA

Kayla Schiffer-Kane, MA

Student Member-at-Large 2024-2025
PhD Student
Columbia University


  • Performing: Working Group has high level of engagement and output (workshops, papers, webinars)
  • Networking: Working Group has internal and external networking opportunities for members (mentorship programs, social events, collaboration)
  • Developing: New Working Group or revitalizing efforts to grow membership (recruitment efforts, leadership)
Performing: 60%
Networking: 20%
Developing: 20%

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