معرفی
Hakmook Kang, PhD, is an Associate Professor of Biostatistics at Vanderbilt University Medical Center, where he holds multiple leadership positions including Director of the Data Science Core at the Vanderbilt Kennedy Center and Associate Director for Graduate Studies at the Data Science Institute. His academic appointments reflect significant contributions to quantitative methodologies in medical research.
Education:
- Ph.D. in Biostatistics from Brown University
- M.S. in Statistics from the University of Rhode Island
- M.S. in Pharmaceutical Science from the University of Rhode Island
- B.S. in Chemical Engineering from the University of Minnesota
Research Focus: Dr. Kang specializes in developing advanced statistical methods for complex biomedical data, particularly spatio-temporal modeling and multiple testing frameworks applied to neuroimaging. His interdisciplinary work bridges biostatistics, neuroscience, and machine learning, with applications spanning Parkinson's disease, epilepsy, dementia, diabetes, and cancer diagnostics. Current investigations focus on brain connectivity patterns, neuroimaging biomarkers, and radiomics for tumor classification.
Publication Trends: Recent articles (2024-2025) demonstrate methodological innovation in neuroimaging analysis, particularly fMRI and PET data processing, with strong clinical applications in neurology and oncology. Recurring themes include Parkinson's pathophysiology, epilepsy networks, diabetes progression biomarkers, and machine learning applications in radiology.
Institutional Roles:
- Director, Data Science Core (Vanderbilt Kennedy Center)
- Associate Director for Graduate Studies (Data Science Institute)
- Affiliated with Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Vanderbilt Technologies for Advanced Genomics (VANGARD)
