BS, Industrial Engineering, University at Buffalo (2014)

 

Research Interests: Optimization, Mathematical Modeling, Simulation, Scheduling, Predictive Modeling, Decision Making

 

Kyle completed his undergraduate studies in Industrial Engineering at the University at Buffalo in 2014. As an undergraduate at UB, Kyle's research included a large scale scheduling problem to improve competitive balance of the National Football League's scheduling methods. Kyle also participated in a case study competition for the Society for Health Systems in which his team used simulation modeling to track patient and clinician flow through the various stages of an emergency department. With the simulation outputs, Kyle's team was able to determine the optimal number of patient beds and propose recommendations for re-designed facility layouts. With HSyE, Kyle is currently involved in a logistical routing problem to optimally assign warehousing location(s) for supplies going to dialysis patients. Kyle's team is constructing a linear programming model to minimize total combined costs for shipments and warehouse startup/maintenance. In his free time Kyle enjoys travelling, playing basketball, and music.