Dr. Baycik is an Assistant Professor of Quantitative Methods and Supply Chain Management at Shenandoah University. He received his PhD degree in Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in May 2018 and his MSc degree in Industrial Engineering at the University of Arkansas in May 2014. His research focuses on operations research and machine learning methods applications. Dr. Baycik's teaching interests include Operations Research, Machine Learning, and Data Science/Analytics. Nail Baycik
Shenandoah University
- Assistant Professor of Quantitative Methods and Supply Chain Management
Dr. Baycik is an Assistant Professor of Quantitative Methods and Supply Chain Management at Shenandoah University. He received his PhD degree in Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in May 2018 and his MSc degree in Industrial Engineering at the University of Arkansas in May 2014. His research focuses on operations research and machine learning methods applications. Dr. Baycik's teaching interests include Operations Research, Machine Learning, and Data Science/Analytics.