Dennis is a data scientist and software engineer in Oliver Wyman’s Digital Practice. He has delivered solutions to solve complex technical challenges across industries, technologies, and cultures. His work includes designing end-to-end digital solutions and implementing machine learning models to address client needs.
Dennis leverages diverse technologies to adapt to any given problem. Prior to Oliver Wyman, he developed software to solve problems in machine learning, optimization, and computer vision for applications in remote sensing at an engineering laboratory. He highlights that, one of the most rewarding parts of his job is developing tools that clients find valuable in their daily routines.
As an engineer, I like building tools, taking them apart, and seeing how they work. In college, my favorite classes involved labs with hands-on problem solving. One of the most rewarding parts of my job is developing tools that clients find valuable in their daily routines.
Dennis' academic background covers a Ph.D. in Electrical and Computer Engineering from Purdue University, where his thesis focused on computational optical imaging. His deep technical knowledge provides unique perspectives and tools to craft solutions based on how the client thinks and learns.
Apart from his professional career, he has founded the Oliver Wyman's Chess Club for fellow enthusiasts of the game. He believes that the analytical skills from chess apply well to solving client problems.