In a nutshell...
- I defended my thesis in October 2014. My PhD was in Computational Science and Engineering (CSE) at MIT and I am now a Post-Doc in the Aerospace Computational Design Lab (ACDL) at MIT.
- My research focuses on applications of transport maps to Bayesian inference.
- I am a founder and lead developer of the MIT Uncertainty Quantification (MUQ) library - a c++ framework for efficient uncertainty quantification and Bayesian inference. MUQ is also part of the QUEST SciDAC institute.
- I completed my Masters in the Computation for Design and Optimization program at MIT in 2011.
- In 2010, I was awarded the DOE Office of Science Graduate Fellowship.
- My current CV can be found here.
- My PhD thesis can be found here.
I recently finished my Ph.D. in Computational Science and Engineering (CSE) at MIT. I also received my Master's degree in Computation for Design and Optimization (CDO) from MIT in 2011. Throughout my graduate career, my research has focused on the development of efficient methods for Bayesian inference. My work has focused on efficient methods for constructing transport maps, and the use of transport maps for efficiently sampling Bayesian posteriors. I am also interested in many areas of computaional mathematics including scientific software development, derivative free optimization, reduced order modelling, and statistical modeling.
I received a B.S. in Electrical Engineering and a B.S. in Applied Mathematics and Statistics with a minor in computational science from Clarkson University in 2009. My undergraduate thesis was on the use of surrogate functions in Particle Swarm Optimization.
During my early undergraduate days I worked as a raft guide on the Hudson river in the Adirondacks in 2005 and on the Arkansas, Roaring Fork, and Colorado rivers near Snowmass, CO in 2006. I still try to get on the river as much as possible (which is not much). I was also a member of the Clarkson University ski team from 2005-2009 but have recently been less interested in charging gates and more interested in charging trees in the backcountry.