Bernardo is a first year PhD student of Computer Science at Carnegie Mellon University, where he's advised by Anupam Gupta and Marijn Heule. He has been recently working on augmenting classical online algorithms with Machine Learning, as well as on using automated reasoning tools to study combinatorial objects. In the past his research was mostly centered on theoretical aspects of interpretability in Machine Learning.