Kenneth Lewis

Dr. Kenneth Lewis serves as Assistant Professor of Physiology in the Department of Foundational Sciences at Central Michigan University College of Medicine. His research integrates adipocyte biology, metabolic homeostasis, and medical education innovation, with recent publications spanning lipodystrophy mechanisms, bone marrow adipose function, and AI applications in medical training.

Education background:

• B.S. in Biology, Oakland University (Rochester, MI)
• Ph.D. in Physiology, Wayne State University School of Medicine (Detroit, MI)

Dr. Lewis's research examines how adipocytes regulate systemic metabolism, with particular focus on lipodystrophy models and bone marrow adipose tissue dynamics. His medical education work investigates technology-enhanced learning, recently comparing AI systems with medical student performance in problem-based curricula. His laboratory employs genetic mouse models, metabolic phenotyping, and educational assessment methodologies.

Analysis of his 15 most recent publications (2019-2025) reveals three dominant trends: 1) Genetic mechanisms of adipose dysfunction (60% of papers), especially Lamin A/C-related lipodystrophy; 2) Bone marrow adipose tissue physiology (25%); 3) Medical education technology (15%). Key journals include Molecular Metabolism, Journal of Clinical Investigation, and Medical Science Educator.

Professional affiliations:

• AAMC Central Group on Educational Affairs (CGEA)
• American Physiological Society
• International Association of Medical Science Educators (IAMSE)

Dr. Lewis maintains active collaborations with University of Michigan Medical School researchers, particularly in metabolic disease studies. His teaching portfolio spans foundational physiology to medical education scholarship, reflecting dual expertise in basic science and pedagogy. He supervises student research in adipose biology and medical education projects, with opportunities for cross-institutional work through his Michigan connections.

Though no dedicated laboratory name is specified, his research group operates within CMU's Department of Foundational Sciences, utilizing shared institutional resources for metabolic phenotyping and educational research. Current projects explore FGF21 therapeutics for metabolic dysfunction and AI-augmented problem-based learning frameworks.