Eric Wong

Eric Wong is an Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania, affiliated with the ASSET Center and leading the Brachio Lab. His research focuses on robust and reliable machine learning, including model debugging, adversarial robustness, and explainable AI. He holds a PhD from Carnegie Mellon University (CMU), advised by J. Zico Kolter, and completed a postdoc with Aleksander Madry. His work bridges theory and practice, addressing challenges in model interpretability, safety, and scalability.

Teaching includes CIS 5200 (Machine Learning), CIS 3333 (Mathematics for Machine Learning), and a specialized course on debugging ML pipelines. Notable contributions include the FIX Benchmark for interpretable features and defenses against LLM jailbreaking attacks. He received an Amazon Research Award in 2024 and has published extensively in top conferences like ICML, NeurIPS, and ICLR.

• Affiliations: University of Pennsylvania (CIS), ASSET Center, Brachio Lab
• Education: PhD in Machine Learning (CMU), Postdoc at MIT
• Key Projects: FIX Benchmark, DOLPHIN framework, SmoothLLM defense
• Awards: Amazon Research Award (2024)
• Lab Focus: Safe AI, model debugging, neurosymbolic learning