Data scientist focusing on machine learning and predictive analytics. Currently, I work as a research scientist at Michigan Tech Research Institute, improving and implementing statistical methods for clients through developing scientific software, writing research proposals, creating and maintaining models, and wrangling new data sets. Previously, I was a computational scientist at the University of Illinois where I used numerical methods to expand the theory of computational plasmonics and was fortunate to be advised by David Nicholls. I also have experience with supercomputers and parallel processing at Argonne National Laboratory and finite element analysis at the Cold Regions Research and Engineering Laboratory. Prior to starting graduate school, I worked in Agile software development at Workforce Software and focused on data mining, numerical optimization, and software automation.
