Professor Schmidt’s research examines how firm operational decisions influence and are influenced by firm value and risk. He focuses both on understanding the factors that moderate these relationships and on identifying strategies that firms may adopt to better manage them. Much of his work is in the context of low probability, high impact operational disruptions.
Schmidt teaches statistics in the core MBA program at the Samuel Curtis Johnson Graduate School of Management at Cornell University. He received his doctorate from Harvard Business School in 2013. Before his doctoral studies, Schmidt was a product manager and consultant, primarily for Ariba and Electronic Data Systems.