ZOLL Lecture: Biomedical Data Science, From Euler to Dirac: Discovering the Spatial and Temporal Progression of Molecular and Tissue Change in Alzheimer’s Brains

Michael I. Miller, Ph.D.
Bessie Darling Massey Professor & Director of Biomedical Engineering
Johns Hopkins University
Isermann Auditorium, CBIS, Rensselaer Polytechnic Institute
Thu, April 18, 2024 at 2:00 PM
Reception to follow

I will discuss progress over the years in Molecular Computational Anatomy (CA), representing molecular and gross anatomy as diffeomorphic transformations of templates. Recent results https://spj.science.org/doi/10.34133/2022/9868673 extending CA from the tissue scales of continuum mechanics to the molecular scales for digital pathology and spatial transcriptomics will be described. Applications to studying the spatio-temporal organization of the progression of Alzheimer's disease will be presented.

Dr. Miller

Michael I. Miller is the Bessie Darling Massey Professor and Director of Biomedical Engineering at Johns Hopkins University. He is also co-director of the Kavli Neuroscience Discovery Institute. 

As a biomedical engineer who specializes in data science, Miller is pioneering cutting-edge technologies in computational medicine to understand and diagnose neurodegenerative diseases. His research focuses on the functional and structural characteristics of the human brain in health and disease, including Huntington’s disease, Alzheimer’s disease, dementia, bipolar disorder, schizophrenia, and epilepsy. By developing new tools to analyze patient brain scans, derived from advanced medical imaging technologies, Miller aims to predict the risk of developing neurological disorders years before the onset of clinical symptoms. His lab is currently devising cloud-based methods to build and share libraries of brain images—and the algorithms used to understand them—associated with neuropsychiatric illness. Miller’s research is highly translational, and he has co-founded four start-up companies in the past decade.

Miller has co-authored more than 200 peer-reviewed publications, as well as two highly cited textbooks on random point processes and computational anatomy. He has received numerous awards for his work, including the national Institute of Electrical and Electronics Engineers (IEEE) Biomedical Engineering Thesis Award, the Johns Hopkins Paul Ehrlich Graduate Student Thesis Award, and the National Science Foundation (NSF) Presidential Young Investigator Award. He was named an inaugural Johns Hopkins University Gilman Scholar in 2011 for demonstrating a distinguished record of research, teaching, and service. He is an elected Fellow of the American Institute for Medical and Biological Engineering and the Biomedical Engineering Society.