Ji Xiang He

Ji Xiang He is an Adjunct Associate Professor at the Department of Fisheries and Wildlife, College of Agriculture & Natural Resources, Michigan State University. He also serves as a Research Fisheries Biologist at the Michigan Department of Natural Resources (MI DNR) at the Alpena Fisheries Research Station. His professional focus integrates fish bioenergetics, food-web dynamics, and life-history parameter analysis within the context of human-ecosystem interactions in fisheries management.

• Education: Undergraduate in Fisheries and Aquaculture (specializing in Chinese reservoir systems), with graduate training in Fisheries and Ecology at the State University of New York (SUNY) beginning in 1995.

His research bridges ecological frameworks (natural resource geography, landscape ecology, systems ecology) with quantitative fisheries science. While his primary work centers on stock assessment and ecosystem modeling in aquatic environments, recent Google Scholar publications indicate interdisciplinary applications of computational modeling and machine learning in biomedical contexts such as arterial hypertension and aneurysm progression.

Key trends in his publications reveal expertise in physics-based machine learning, patient-specific hemodynamic modeling, and longitudinal data analysis for cardiovascular diagnostics. Though seemingly divergent from his fisheries background, these computational techniques may inform ecological modeling practices through cross-disciplinary methodological innovation.

He maintains affiliation with the Quantitative Fisheries Center and emphasizes functional connections between ecological systems and human management practices in his work.