Adèle H. Ribeiro is a Postdoctoral Research Scientist in the Causal Artificial Intelligence (CausalAI) Laboratory, mentored by Professor Elias Bareinboim. She has experience researching different topics at the intersection of Computer Science, Statistics, and Artificial Intelligence in Healthcare, including Causal Inference and Learning, Deep Generative and Discriminative Models, Statistical Genetics and Neuroscience, and Multi-Omics Analysis. She is currently interested in the emergent field of Causal Health Sciences, which focuses on discovering, integrating, generalizing, and personalizing causal findings by taking advantage of the vast, but imperfect and heterogeneous, amounts of observational and experimental data available. 

Adèle received her Ph.D. and M.S. degrees in Computer Science and her B.S. degree in Computational and Applied Mathematics, all from the Institute of Mathematics and Statistics of the University of Sao Paulo (USP), Brazil. During her Ph.D., she undertook a doctoral research internship in the Developmental Neuromechanics and Communication Lab at Princeton University. Before joining Columbia University, she worked as a Postdoctoral Fellow in the Laboratory of Genetics and Molecular Cardiology at the Heart Institute in USP.

Developing and Applying Causal Inference Methods in Public Health