Adèle H. Ribeiro is a postdoctoral researcher in the Causal Artificial Intelligence Laboratory at Columbia University, working with Prof. Elias Bareinboim. Her research focuses on developing and applying causal inference tools in the Health Sciences for discovering, integrating, generalizing, and personalizing cause-effect relationships from heterogeneous observational and experimental data collections. She earned 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). In her Master's research, she developed multi-omics approaches with Prof. Roberto Hirata Junior. During her Ph.D., she investigated causal learning and identification methods in Genetics and Neuroscience with Prof. André Fujita and Prof. Júlia M. P. Soler. Further, she undertook a research internship in the Developmental Neuromechanics and Communication Lab at Princeton University, with Prof. Asif A. Ghazanfar and Prof. Daniel Y. Takahashi. Afterward, she worked as a postdoctoral fellow with Prof. José E. Kriger in the Laboratory of Genetics and Molecular Cardiology at the Heart Institute in USP.