David Li

David Li serves as Program Director for Data Analytics and Visualization at the Department of Graduate Computer Science and Engineering, part of the Katz School of Science and Health at Yeshiva University. His research focuses on algorithmic modeling, machine learning, and interdisciplinary applications in fields such as computational chemistry, finance, and ecology.

He has published extensively on topics including MapReduce optimization, reinforcement learning frameworks, and ecological forecasting. Notable work includes the Best Regional Paper Award-winning Dual-Path Deep Learning Framework for Video Quality Assessment presented at IEEE ICCE 2025.

• Education: Details not provided in current text.
• Courses Taught: Deep Reinforcement Learning, Numerical Methods, Data Acquisition & Management, Independent Study.
• Grants & Collaborations: Collaborates with students on projects across algorithm design, machine learning, and interdisciplinary applications.

His work bridges theoretical computer science with practical challenges in diverse domains, emphasizing scalable solutions for complex systems.