Exploring the intersection of mathematics, machine learning, and real-world applications
A captivating dive into visualizing π's irrationality through animated geometric representations, showcasing mathematical beauty through Python visualizations.
Read moreAn overview of my doctoral research on modeling and controlling production systems based on observed inter-event times, combining analytical and empirical approaches.
Read moreApplying deep reinforcement learning techniques to optimize inventory management in systems with lost sales, demonstrating superior performance over traditional methods.
Read moreInteractive visualizations to build intuition about eigenvalues and eigenvectors, fundamental concepts in linear algebra with applications across data science.
Read moreMathematical analysis of mean absorbing times in random walks, with applications to stochastic processes and decision-making systems.
Read moreReflections on effective learning strategies and teaching methodologies developed through years of academic research and student supervision.
Read moreAn overview of my research interests spanning optimization, machine learning, and their applications in finance and operations management.
Read more