Presented By: Michigan Lifestage Environmental Exposures and Disease Center
M-LEEaD Environmental Statistics Symposium on Artificial Intelligence & Environmental Health Sciences
Jason Moore (Cedars-Sinai) presents "Automating Machine Learning for the Environmental Health Sciences"
Registration required.
https://forms.gle/KiMXQKQW4FLQ5XFw5
Join us in-person on March 18 to learn about research collaborations on Artificial Intelligence techniques as they apply to Environmental Health Research. Highlighting this year's Environmental Statistics Day Symposium, will be a keynote address by Jason Moore, PhD on Automating Machine Learning for the Environmental Health Sciences. Dr. Moore is Chair, Department of Computational Biomedicine; Director, Center for Artificial Intelligence Research & Education; Professor of Computational Biomedicine, and AI in Medicine; Cedars-Sinai Medical Center). Registration (free) is required.
Symposium Schedule
10:30-10:40 am | Refreshments and welcome
10:40-11:40 am | Keynote address: Automating machine learning for the environmental health sciences, presented by Jason Moore
1:00-2:30 pm | Michigan Perspectives: Connecting Artificial Intelligence Techniques to Environmental Health Sciences Research
Zhenke Wu, PhD (Biostatistics) What can Artificial Intelligence offer for Environmental Health Sciences
Liyue Shen, PhD (Electrical Engineering & Computer Science) Prior-Informed Artificial Intelligence for Medical Imaging
Qing Qu, PhD (Electrical Engineering & Computer Science) Exploring low-dimensionality for more robust, efficient, and explainable Artificial Intelligence
Symposium location: UM School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109. This event is organized by the Integrated Health Sciences Core of the University of Michigan Lifestage Environmental Exposures and Disease Center (M-LEEaD).
https://forms.gle/KiMXQKQW4FLQ5XFw5
Join us in-person on March 18 to learn about research collaborations on Artificial Intelligence techniques as they apply to Environmental Health Research. Highlighting this year's Environmental Statistics Day Symposium, will be a keynote address by Jason Moore, PhD on Automating Machine Learning for the Environmental Health Sciences. Dr. Moore is Chair, Department of Computational Biomedicine; Director, Center for Artificial Intelligence Research & Education; Professor of Computational Biomedicine, and AI in Medicine; Cedars-Sinai Medical Center). Registration (free) is required.
Symposium Schedule
10:30-10:40 am | Refreshments and welcome
10:40-11:40 am | Keynote address: Automating machine learning for the environmental health sciences, presented by Jason Moore
1:00-2:30 pm | Michigan Perspectives: Connecting Artificial Intelligence Techniques to Environmental Health Sciences Research
Zhenke Wu, PhD (Biostatistics) What can Artificial Intelligence offer for Environmental Health Sciences
Liyue Shen, PhD (Electrical Engineering & Computer Science) Prior-Informed Artificial Intelligence for Medical Imaging
Qing Qu, PhD (Electrical Engineering & Computer Science) Exploring low-dimensionality for more robust, efficient, and explainable Artificial Intelligence
Symposium location: UM School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109. This event is organized by the Integrated Health Sciences Core of the University of Michigan Lifestage Environmental Exposures and Disease Center (M-LEEaD).
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