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Symposium Committee

Jonathan Reader

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Nathan Fox

What I do:Nathan Fox is an AI Scientist at MIDAS, specializing in developing and applying AI tools to help scientists analyze complex environmental datasets. His work focuses on making machine learning, computer vision, and geospatial analysis accessible for biodiversity monitoring, conservation, and ecosystem research. Who I am:Before joining MIDAS, Nathan was a Schmidt AI in ...

Dani Jones

Dani Jones’ research program drives CIGLR’s portfolio of research in data science, machine learning, and artificial intelligence, as applied to physical limnology, weather forecasting, water cycle predictions, ecology, and observing system design. This research program aims is to advance societal adaptations to the effects of climate change, including flooding of coasts, rivers, and cities. Dani’s ...

Nicholas Henderson

My research primarily focuses on the following main themes: 1) development of methods for risk prediction and analyzing treatment effect heterogeneity, 2) Bayesian nonparametrics and Bayesian machine learning methods with a particular emphasis on the use of these methods in the context of survival analysis, 3) statistical methods for analyzing heterogeneity in risk-benefit profiles and ...

Nambi Nallasamy

Our team develops machine learning algorithms for the enhancement of outcomes in cataract surgery, the most commonly performed surgery in the world. Our work focuses on developing models for postoperative refraction after cataract surgery and analysis of surgical quality.

Aaron A. King

The long temporal and large spatial scales of ecological systems make controlled experimentation difficult and the amassing of informative data challenging and expensive. The resulting sparsity and noise are major impediments to scientific progress in ecology, which therefore depends on efficient use of data. In this context, it has in recent years been recognized that ...

Jing Liu

What I do: Artificial intelligence (AI) and data science have become a major force to transform science and society. As the MIDAS Executive Director, I lead my institute’s effort to enable the adoption of AI and data science methods across research fields and catalyze research breakthroughs, upskill academic researchers, improve the rigor and reproducibility of ...

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Nathan Fox

Schmidt AI in Science Fellow Alumni, Michigan Institute for Data & AI in Society

Nicholas Henderson

Assistant Professor, Biostatistics

Dani Jones

Associate Research Scientist, Data Science and Modeling, School for Environment and Sustainability

Aaron A. King

Professor of Ecology and Evolutionary Biology, College of Literature, Science, and the Arts

Professor of Complex Systems and Mathematics, College of Literature, Science, and the Arts

Jing Liu

Nambi Nallasamy

Assistant Professor of Ophthalmology and Visual Sciences and Assistant Professor of Computational Medicine and Bioinformatics, Ophthalmology and Visual Sciences

Jonathan Reader

Data Systems Manager, Michigan Alzheimer’s Disease Center