Raed Khashan

Dr. Raed Khashan is an Associate Professor in the Pharmaceutical Sciences Division at Long Island University. He holds a Ph.D. in Pharmaceutical Sciences from the University of North Carolina at Chapel Hill, an M.S. in Pharmaceutical Sciences from The University of Texas at Austin, and a B.S. in Pharmacy from Jordan University of Science and Technology. As a licensed pharmacist with over ten years of community pharmacy experience, he bridges theoretical concepts with real-world applications in his teaching.

His interdisciplinary research spans three core areas:

• Computer-Aided Drug Design using machine learning and molecular modeling
• Molecular Dynamics Simulation for mechanistic studies of biological processes
• Development of computational algorithms for cheminformatics and bioinformatics challenges

This work integrates chemistry, biology, physics, and computer science to advance therapeutic discovery.

Dr. Khashan's publications demonstrate consistent focus on computational method development, with recent work emphasizing AI-driven drug discovery (e.g., BMX inhibitors for cancer) and CRISPR/Cas molecular mechanisms. His articles frequently appear in journals like Molecular Informatics, Journal of Cheminformatics, and Proteins: Structure, Function, and Bioinformatics.

He has received significant recognition including:

• AACP Teacher of the Year Award
• CCG Excellence Award for computational method innovation
• Multiple teaching nominations (Lindback, Bright Idea)
• Research awards from USciences and King Faisal University

He actively mentors students in computational projects, with current advisees including Faranak Dinehkaboudi, Nadimbhai Vahora, and Amnah Alalmaie. As director of the Khashan Laboratory for Molecular Modeling & Simulation, he leads initiatives in CADD and algorithm development.