Wael El Khateeb

I am a Ph.D. Candidate in Applied Mathematics at the University of Toledo, specializing in Dynamical Systems, Mathematical Biology, and Machine Learning. Advised by Dr. Chunhua Shan (Dissertation advisor) and Dr. Bill Kalies, my research integrates mathematical modeling and computational tools to address complex problems, including nonlinear dynamics and predator-prey systems. I have extensive experience in machine learning, neural networks, and robotics applications, utilizing Python, MATLAB, TensorFlow, AWS, and SQL.

 As an educator, I have taught courses such as College Algebra, Calculus, Foundations of Python Programming, Data Structures and Algorithms, Math for Liberal Arts, and Number Theory at institutions including the University of Toledo and the Johns Hopkins Center for Talented Youth, earning recognition for my engaging and accessible teaching. Beyond academia, I lead as the president of the AMS Graduate Student Chapter and participate in interdisciplinary collaborations. My work aims to bridge the gap between theory and application, advancing innovation in both academia and industry.