Summary
Morgan Frank is an Assistant Professor in Informatics and Networked Systems at the University of Pittsburgh with a decade of experience at the intersection of computational social science, human mobility, and network analysis. Trained at MIT (PhD) and UVM (MS, BS), Morgan transitioned from MIT Media Lab postdoctoral and graduate research roles into academia while contributing industry-facing data science work at Google and LinkedIn. Their research blends large-scale social and mobility datasets with dynamical systems and complex-systems methods, reflecting both theoretical depth and practical data-mining experience. Based in Massachusetts, Morgan combines rigorous mathematical training with hands-on experimentation in geo-tagged social data and scalable cooperation systems—bringing a rare mix of academic scholarship and applied data science to inform networked systems design.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Social Science, Doctor of Philosophy (PhD) Computational Social Science at Massachusetts Institute of Technology
Master of Science (M.S.) Applied Mathematics, Master of Science (M.S.) Applied Mathematics at University of Vermont
GED Liberal Arts and Sciences, General Studies and Humanities, GED Liberal Arts and Sciences, General Studies and Humanities at Holderness School