Theo McKenzie
Assistant Professor of Statistics and Data Science
Theo McKenzie joins the FAS as Assistant Professor of Statistics and Data Science. He proves rigorous mathematical results about the structure of random networks. A principal strategy he has advanced is to interpret these networks as physical systems, identify signatures of quantum chaos in their spectral behavior, and use those features to establish strong graph-expansion properties with applications in computer science.
In his recent work, McKenzie and two collaborators showed that a constant fraction of random graphs satisfying a regularity condition are optimal spectral expanders. McKenzie obtained his PhD in mathematics from the University of California, Berkeley.
Mckenzie has subsequently served as an NSF MPS-Ascend Postdoctoral Fellow in the Department of Mathematics at Harvard University and as a Science Fellow in the Department of Mathematics at Stanford University.