معرفی
Jonathan Lee is a Clinical Assistant Professor at the Seidenberg School of Computer Science and Information Systems at Pace University, specializing in Information Technology. His academic work bridges theoretical and applied research in machine learning and algorithm design.
Education:
- BS from Tufts University (2001)
- MA from The University of Texas at Austin (2010)
- MS from Pace University (2016)
Lee’s research focuses on Ensemble Methods, Pattern Recognition, and Artificial Intelligence, with applications in algorithm optimization and data mining. He has presented at events like the International Conference on Artificial Intelligence (ICAI) and Pace University’s Machine Intelligence Day.
His recent publications emphasize hybrid machine learning techniques, combining voting models, proximity-based algorithms, and data structuring strategies. Themes include rank aggregation, predictive modeling, and ensemble robustness.
Professional Contributions:
- Faculty Advisor, Seidenberg Creative Labs
- Committee Member, Diversity Task Force
- Program Director, MS in Information Systems
- Member of IEEE and Veterans of Foreign Wars
