Eric Enouen

Eric is a rising senior at The Ohio State University, majoring in computer science and engineering with a minor in mathematics. His research interests have primarily focused on the pillars of trustworthy machine learning, trying to make AI systems more fair, explainable, interpretable, secure, and robust. He has worked in the realm of fairness on multi-objective optimization for fair ML, as well as the realm of security on data-free model extraction. This summer, he will be working with Sebastian Caldas and Dr. Artur Dubrawski at the Auton Lab exploring the interpretability of different gating functions for federated learning. These gating functions will be used in a clinical context to decide how machine-learning models are shared between hospitalsl; therefore, it is critical that they are both expressive and interpretable. He’d like to thank all of the RISS organizers and sponsors for this opportunity! He’s excited to become a part of the community this summer!