Summary
Dan Messenger is an applied mathematics researcher and educator with a decade of experience designing algorithms for data-driven modeling of interacting-agent systems, from cell biology to robotics and financial markets. Based at the University of Colorado Boulder, he progressed from PhD student to postdoc and now research associate, translating theoretical tools into practical models for complex, multi-agent dynamics. His background blends rigorous training in math and physics with hands-on computational work—from scripting analysis in scientific environments to developing algorithms for vibrational spectra and autonomous-agent inference. Outside academia he has applied his organizational and teaching skills in roles ranging from expedition logistics to tutoring, indicating a practical, service-oriented approach to problem solving.
9 years of coding experience
1 year of employment as a software developer
Montclair High School
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at University of Puget Sound
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Colorado Boulder
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Simon Fraser University