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will develop andapply cutting-edge methods in predictive and causal modeling for age-related maculardegeneration ( AMD ), a primary cause of irreversible vision loss worldwide. This work willinvolve the
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protein evolution experimentally (with Prof. Ross Wang), with possible in silico predictions using machine-learning based artificial intelligence (with Prof. Vincenzo Carnevale, website https
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information. Researchers will use this data to discover how factors such as COVID-19, climate changes or pollution might affect mental well-being. The goal is to find patterns and predict who is most at risk
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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
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inspirations from neuroscience to make better AI and, conversely, apply AI to better understand brain function and behavior. Projects will be related to our recent work: Neurons learn by predicting future