- Ph.D. in Applied Mathematics, University of Maryland Baltimore County (UMBC)
- Dr. Boukouvalas' research focuses on the development of interpretable machine learning models and algorithms for the analysis of big multi-modal data, by combining aspects from information geometry, mathematical statistics, and numerical optimization. His work involves different types of data, including biomedical images for studying psychiatric illnesses, social and linguistics data for understanding political and social trends, and chemical data for drug discovery and materials design.
DATA-793 Data Science Practicum
STAT-496 Selected Topics:Non-Recurring: Appld Natural Language Process
DATA-442 Advanced Machine Learning
STAT-427 Statistical Machine Learning