The need for speed pushes optimization researcher

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One day he might work on code to help economists at Stanford University and the University of Chicago examine optimal tax policies.  On another day, he might help physicists understand questions about nuclear fission or chemists who are trying to understand the energy of how a molecule reacts.  He also works on environmental projects, including computer models to understand abatement of groundwater contaminants.

Munson’s work today progressed naturally from programming his home computer by the time he was in fourth grade.  He followed his interests to the University of Nebraska at Omaha and majored in computer science.

While he was an undergraduate, Professor Betty Hickman sparked Munson’s interest in optimization during an undergraduate course and later as his research mentor.  Compared to other areas in computer science, optimization was both new and challenging for him.  Chewing on the complicated and interesting problems in class hooked him.  “If I’m not challenged, then I would just be bored,” he says.

That spark led to a focus on optimization research through the rest of Munson’s career, including a doctoral degree at the University of Wisconsin-Madison and work at Argonne, first as a postdoctoral fellow and now as a staff scientist.

Ultimately, Munson comes to work each day with the goal of improving computer applications that will help users solve their problems.

“Typically I can improve upon the existing methods and make them better,” he says.  “A lot of the things that I do are motivated primarily because we want to provide a better experience for the customer and solve their problems faster, better and more reliably.”

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