Dr. Zhi Han’s research is focused on developing advanced pattern recognition, bioinformatics and statistical methods to solve high-impact biomedical problems, specifically in the areas of biomedical informatics and neuroinformatics with applications in cancers and brain development. He has more than 20 years of experience using advanced pattern recognition methods to analyze different types of images, such as document images, fingerprint images, histopathological images, and neural brain images. He utilizes his experience as a scientific collaborator and assistant research professor on the Indiana University Grand Challenge Initiative for Precision Health.
Dr. Han’s research interests lie in integrative analysis of gene expression and tumor tissue images for pan-cancer research; developing algorithms and software for mining and visualizing large and complex biomedical and clinical data; and developing algorithms and pipelines for modeling and spatial pattern analysis in brain development studies.
Dr. Han holds degrees in mathematics (BS), computer software (MENG) and pattern recognition and intelligent systems (PhD). His research has been published in notable scientific journals such as Nature Neuroscience, Neuron and Cancer Research.