David
Li
Katz School of Science and Health
Yeshiva University
205 Lexington Avenue 6th Floor
New York, NY 10016
I have a broad and deep interest in anything driven by underlying mechanisms, particularly those that can be modeled using mathematics and algorithms. I have published work spanning algorithms, mathematics, statistics, optimization, computational chemistry, quantitative finance, economics, machine learning, deep learning, reinforcement learning, big data and cloud computing. I enjoy working with my students on research projects.
- A Flexible Generalized Probability Core and Quantitative Strategy Analysis for Game Design, Angela Li, Zhengnan Li, David Li, IEEE ICCE 2025 at Las Vegas, NV
- Optimizing Customer Targeting Using Reinforcement Learning and Neural Networks for Adaptive Marketing Strategies, Mohammad Zubair Khan, David Li, IEEE ICCE 2025 at Las Vegas, NV
- Mutual Information Reduction Techniques and Its Applications in Feature Engineering, Ruixin Chen, David Li, IEEE ICCE 2025 at Las Vegas, NV
- A Dual-Path Deep Learning Framework for Video Quality Assessment: Integrating Multi-Speed Processing and Correlation-Based Loss Functions, Hang Yu, Ruiming Tian, David Li, IEEE ICCE 2025 at Las Vegas, NV
- Dynamic Logistic Ensembles With Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification, Mohammad Zubair Khan, David Li, IEEE UEMCON 2024 at IBM Watson Research Center, NY
- A Novel Data-Driven Mathematical Framework for Olympic Medal Counting System, Angela Li, Zy Li, David Li, IEEE DDP 2024 at Yeshiva University, NY
Katz School of Science and Health
Yeshiva University
205 Lexington Avenue 6th Floor
New York, NY 10016
MEDIA RELATIONS
To request an interview, please contact Media Relations at 212-960-5400 x5488 or publicaffairs@yu.edu
Deep Reinforcement Learning
Numerical Methods
Data Acquisition & Management
Independent Study