Give

Symposium Committee

Jonathan Reader

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 ...