Dr. Enric Boix

Biography

Enric Boix is an Assistant Professor in the Department of Statistics and Data Science at the University of Pennsylvania. His research focuses on the theory of artificial intelligence, including topics such as model distillation, reasoning models, adaptive steering, monitoring algorithms, and the dynamics of training processes. He investigates inductive bias architectures, adversarial examples, and feature learning, while emphasizing AI safety in his work. Boix's academic contributions have been seen in various renowned conferences and journals, where he has explored the principles governing neural networks and machine learning. His recent publications include the study of universal steering and monitoring of AI models, as well as the implications of deep learning methodologies. Boix is committed to educating the next generation of statisticians and data scientists through his teaching and research efforts. He also offers advanced seminars covering a range of topics in applied statistics, data science, and artificial intelligence, engaging graduate students in current research developments.

Research Interests

Courses