💬 About

I’m a postdoc fellow at Vector Institute, where I’m hosted by Chris J. Maddison. I received my PhD degree in computer science at Purdue University, where I was advised by Bruno Ribeiro. Before that in a distant and happy land I was a BSc student (also in CS) at UFMG, Brazil. During my time as an undergrad I worked with distributed algorithms (at UFMG) and quantum computing theory (at University of Calgary).

📝 Research

I’m broadly interested in statistical and causal machine learning. More specifically, I study the interplay between structural knowledge, computation, and learning. How can we leverage these concepts to build better (and practical) machine learning methodology? I believe these insights are specially relevant in problems with complex systems’ data, such as online platforms and biochemistry.

🗞️ Selected Publications

For full list and metrics, see Google Scholar.

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