معرفی
Nicholas Kissel is a Special Faculty Lecturer in the Department of Statistics & Data Science at Carnegie Mellon University's Dietrich College of Humanities and Social Sciences. His research focuses on Statistical Machine Learning, with applications in health analytics, biomedical research, and algorithmic methodology.
His work bridges theoretical statistical frameworks with practical problems in clinical and behavioral sciences. Notable research includes cluster analysis for emotional reactivity subtypes, meta-analyses of ketamine treatment for depression, and injury prediction models for military personnel.
He has contributed to studies using actigraphy for sleep pattern analysis and high-dimensional statistical comparisons for cross-validation. While no awards or grants are explicitly listed, his interdisciplinary approach reflects collaboration across health sciences and computational methods.
