Dong Ryeol Lee

Dr. Dong Ryeol Lee is an Assistant Professor in the Data Science Department at Saint Peter's University. His research focuses on large-scale machine learning, geometric problems in natural science, web, and IoT applications. Previously, he worked as a research scientist on web search engines, fleet prognostics, and revenue forecasting models. He holds a Ph.D. in Computer Science from Georgia Institute of Technology (2012), M.S. in Mathematics (2011) from the same institution, and dual B.S. degrees in Mathematical Sciences and Computer Science from Carnegie Mellon University (2005).

• Education:
• B.S. Mathematical Sciences & Computer Science, Carnegie Mellon University (2005)
• M.S. Mathematics, Georgia Institute of Technology (2011)
• Ph.D. Computer Science, Georgia Institute of Technology (2012)

Dr. Lee’s research bridges computational methods and real-world applications, emphasizing efficient algorithms for high-dimensional data and metric space problems. His work spans celestial body simulations, web search optimization, and predictive maintenance in IoT systems. Recent publications explore dual-tree algorithms, kernel summation frameworks, and multitree methods in astrostatistics.

His articles reflect a focus on algorithm efficiency, statistical analysis, and cross-disciplinary applications. Notable trends include scalable machine learning infrastructure and geometric problem-solving in astronomy and computer vision.

No scientific awards have been listed. He currently teaches DS-600 (Data Mining) and DS-630 (Machine Learning). No grants or advising records are mentioned. His academic contributions emphasize algorithmic innovation and industrial applicability without explicit lab affiliations detailed in the source text.