David Sondak

David Sondak

Lecturer in Computational Science
David Sondak
David Sondak is a lecturer at the Institute for Applied Computational Science where he teaches courses on computational science and data science. David received his PhD in Aeronautical Engineering in 2013 from Rensselaer Polytechnic Institute during which time he was funded through the Department of Energy Office of Science Graduate Fellowship program.  He received a Master's degree in Applied Mathematics, also from RPI, in 2011 and a Bachelor's degree in Mechanical Engineering from Lehigh University in 2008.

Prior to joining IACS, David was a postdoctoral research fellow in the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin where he conducted research on representing uncertainties in models of chemical kinetics. In that work, he made extensive use of Bayesian statistical techniques to provide meaningful
interpretations of uncertainties. Before joining ICES, David was a Van Vleck Visiting Assistant Professor in the Department of Mathematics at the University of Wisconsin-Madison. He taught courses ranging from second semester calculus through linear algebra and partial differential equations. In addition to teaching, he researched the fundamental structures governing heat transport in Rayleigh-Benard convection. David's ongoing research focuses on the development of physics-based, data-driven models to enable predictive capabilities in problems of engineering and scientific interest including magnetohydrodynamics, thermal convection, and chemical kinetics.

Contact Information

Maxwell Dworkin G111
p: 617-384-6994