Eric Wong is a postdoctoral researcher in the Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology, advised by Aleksander Madry. He previously completed his PhD in the Machine Learning Department at Carnegie Mellon University, where he was advised by Zico Kolter. His work focuses on the diagnosis and development of robust and reliable systems, building on elements of machine learning and optimization and connecting them to real-world settings. He is a 2020 Siebel Scholar and received an honorable mention for his thesis on the robustness of deep networks to adversarial examples.