معرفی
Joshua French is an Associate Professor and Director of Data Science Programs at the University of Colorado Denver, housed within the Department of Mathematical and Statistical Sciences in the College of Liberal Arts and Sciences. His research focuses on spatial statistics, epidemiology, environmental health, and statistical methodology with applications to public health and climate science. He leads initiatives in data science education and collaborates on projects addressing disease surveillance, environmental risk assessment, and geospatial modeling.
Key research areas include developing statistical methods for cluster detection, analyzing NTM infection risks linked to environmental factors like water quality and trace metals, and evaluating climate model projections. His work integrates spatial analysis with real-world applications in public health and environmental science. French’s contributions span algorithmic innovations (e.g., PreCoG scan method) and interdisciplinary projects such as the MORACS clinical trial and aerosol impact studies on Arctic climate change.
He advises the Data Science Programs at UC Denver and maintains active collaborations with institutions like National Jewish Health Hospital. His research has been published in top-tier journals and methodological packages, including 'smerc' and 'smacpod', reflecting his commitment to advancing statistical tools for spatial and environmental data analysis.
