The Department of Mathematical and Statistical Sciences will host Dr. Hsin-Hsiung Huang from the University of Central Florida for a colloquium titled “From MRIs to Genomes: Practical Dimension Reduction with Shift Robust Tensors and Fréchet dCov SDR,” on Friday, Sept. 12, at 1 p.m. in Cudahy Hall 401, with a virtual option via Teams.
Huang will explore how large, complex datasets — such as million-voxel brain images and thousands of genomic features — can be distilled into interpretable, clinically meaningful insights. The presentation will highlight new approaches for analyzing neuroimaging, PET lifetime imaging and high-dimensional cancer genomics, with applications that span from predictive modeling to visual summaries that aid decision-making.
All faculty, staff and students are welcome.
