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Erik Waingarten is an Assistant Professor in the Department of Computer Information Sciences at the University of Pennsylvania. His research primarily focuses on algorithms for massive datasets with an emphasis on similarity search, streaming/sketching techniques, property testing, and distribution testing. Previously, he served as a postdoctoral researcher in the Computer Science Department at Stanford University, where he was hosted as a Moses Charikar fellow as part of the Simons program on Probability, Geometry, and High Dimensional Computing. Erik obtained his PhD from Columbia University, where he was advised by Xi Chen and Rocco Servedio, and he has expressed deep gratitude for their guidance throughout his academic journey. He is actively involved in mentoring PhD students, including Tian Zhang, Nicolas Menand, Ashwin Padaki, and Krish Singal, showcasing his commitment to fostering new talent in the field.
Stanford University • Stanford, CA
Conducted research in the Computer Science Department, focusing on algorithms within the Simons program.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.