Leonardo is a postdoc fellow at the Vector Institute, where he is hosted by Chris J. Maddison. He received his PhD degree in computer science at Purdue University, where he was advised by Bruno Ribeiro. Before that —in a distant and happy land— he was a BSc student (also in CS) at UFMG, Brazil. His research interests span statistical and causal machine learning. More specifically, he’s been recently interested in (causal) representation learning for combinatorial structures, e.g. graphs, with applications in healthcare.
- Representation Learning
- Causal Inference
- Applications in AI for Science
- 2022: Postdoctoral Fellowship, Vector Institute
- 2017: Graduate Research Fellowship, Qatar Computing Research Institute
- 2014: Science Without Borders Scholarship, University of Calgary/CNPq (Brazil)
- 2013: Young Talents of Science Award, CAPES (Brazil)