Jaewoo Lee

Jaewoo Lee is an Assistant Professor in the Department of Computer Science at the University of Georgia. His research focuses on data mining, machine learning, and privacy-preserving data analysis. He received his Ph.D. from Purdue University in 2014. Dr. Lee has been recognized with a 5-year NSF Career Award (2020) for his proposal titled 'CAREER: Robust Adaptive Optimization Algorithms for Differentially Private Learning.'

His educational background includes doctoral studies at Purdue University, where he specialized in computer science. His work bridges theoretical foundations of privacy and practical machine learning applications, particularly in differential privacy and optimization algorithms.

Research Interests:

• Privacy-Preserving Techniques in Machine Learning
• Differential Privacy Algorithms
• Optimization for Empirical Risk Minimization
• Social Media Analysis and Behavioral Data Mining
• Statistical Methods for Privacy-Constrained Data

Recent work trends emphasize advancing differentially private algorithms for optimization, analyzing social media content (e.g., self-harm classification on Instagram), and developing frameworks for practical privacy implementations. His NSF-funded research aims to create robust, adaptive optimization methods that maintain privacy guarantees.

Awards and Recognition:

• NSF Career Award (2020)

Advising and Grants: Dr. Lee’s grants include the NSF Career Award supporting his privacy-focused research. His advising activities are not detailed in the provided text. He is affiliated with the Boyd Research and Education Center and maintains a professional website for academic collaboration.