Mohammad Mosaffa

Biography

I am a Ph.D. student in Quantitative Marketing at Johnson, Cornell University. My current research employs computer vision and machine learning to analyze facial expressions, with an eye toward their marketing applications. Prior to joining Cornell, I completed an MSc in Mathematics from the University of British Columbia, focusing on deep learning algorithms for service and health systems waiting time prediction. I also hold a BSc in Industrial Engineering from Tehran Polytechnic, where I developed a task allocation method using tree-based ensemble classifiers for service systems. My core competencies include applied machine learning, computer vision, and text mining.