Megan builds and implements AI solutions to solve real business problems. She brings years of experience in developing, maintaining, and governing modeling systems.

Megan is a seasoned tech, helping teams of analysts, data scientists, and engineers to deliver on the promise of AI for Prolego’s clients.

Megan blazes a trail within organizations to create value from their models. She sets up patterns for internal teams to follow for the continued success of AI solutions.

She enjoys all aspects of building AI systems, including hiring and building teams, consulting on business problems, coding new models, developing deployment strategies, and building audit and oversight functions. 

Megan graduated from the University of NebraskaLincoln with a degree in mathematics and economics, but her prowess in modeling began at Creighton University, where she published her first research and completed her MBA.

She further developed these skills at Columbia University, where she completed her master’s degree in economics and became a Fellow of the Society of Actuaries.


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