BLACKSBURG, Va., March 18, 2014 – Dr. Jonathan Boreyko will join Department of Engineering Science and Mechanics at Virginia Tech as a tenure track assistant professor in the area of experimental engineering science and mechanics next fall semester. He received his Ph.D. in Mechanical Engineering from Duke University in 2012 based in part on his dissertation work “From Dynamical Superhydrophobicity to Thermal Diodes.” Since that time, he has been working as a postdoctoral research associate at the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. Prior to his Ph.D. studies, he received B.S. degrees in Mechanical Engineering and Physics from Trinity College in Hartford, CT.
Dr. Boreyko is the author of several archival journal articles including those published in Langmuir, Applied Physics Letters, ACS Nano, and Physical Review Letters. His work on “Dynamic Defrosting on Nanostructured Superhydrophobic Surfaces” was featured in Langmuir’s most read articles for July 2013 and his work on “Self-Propelled Dropwise Condensate on Superhydrophobic Surfaces” was selected as an Editors’ choice by Science in November 2009. He received a First Place Poster Award from the 2011 Gordon Research Conference on Microfluidics.
Dr. Boreyko plans to develop a research group around the theme of bioinspired fluidic systems. In nature, organisms feature ingenious combinations of topology, surface chemistry, and biomaterials to exploit the transportation and phase-change of fluids. His research will draw inspiration from natural phenomena to engineer systems for applications ranging from anti-icing to synthetic biology to desalination. On the teaching side, he plans to link scientific phenomena to everyday experience by utilizing a dynamic combination of in-class demonstrations, videos, and anecdotal discussions. He desires to teach from first principles as often as possible, challenging students to rigorously understand the origin of equations from the conservation of mass, momentum, and energy. He encourages students to not simply memorize which equations to use to solve a given problem, but to rather have an intuitive understanding of the system to more naturally derive and exploit the relevant governing equations.
Department of Engineering Science and Mechanics is pleased to welcome this accomplished young scientist and engineer.