Euiwoong Lee

Euiwoong Lee is an Assistant Professor in the Computer Science and Engineering Division at the University of Michigan. He holds a PhD from Carnegie Mellon University, advised by Venkatesan Guruswami, and has held postdoctoral positions at New York University and the Simons Institute for the Theory of Computing. His research focuses on approximation algorithms, hardness of approximation, and parameterized complexity.

**Education:**

• PhD in Computer Science, Carnegie Mellon University (2017), advised by Venkatesan Guruswami
• Postdoctoral Fellowships: NYU (2017–2020), Simons Institute (2017–2020)

**Research Interests:**

• Approximation Algorithms & Hardness of Approximation
• Convex Hierarchies (e.g., Sum-of-Squares)
• Clustering Algorithms (e.g., Correlation Clustering)
• Parameterized Complexity
• Facility Location & Metric Optimization

**Awards:**

• Edmund M. Clarke Doctoral Dissertation Award (2017)
• Simons Award for Graduate Students in Theoretical Computer Science

**Advising & Grants:**

• PhD Students: Anthony Della Pella, Aditya Anand, Amatya Sharma, Ian DeHaan
• Co-organizes the Michigan Theory Seminar

**Labs/Teams:** Collaborates with researchers in approximation algorithms, optimization, and theoretical computer science at the University of Michigan and beyond.