Jeffrey Adams

Jeffrey Adams has five years of work experience. From 2019 to present, they have been a Data Scientist at Deep BI, Inc. From 2016 to 2019, they were a Quantitative Analyst at Libertech, where they used historical data to predict the largest loan amount an individual applicant was likely to receive and used A/B testing to evaluate changes in web design to increase customer acquisition rate. From 2014 to 2016, they were a Research Assistant at Pontificia Universidad Católica de Chile, where they adapted a differential model for the mechanics and evolution of fireballs to describe supernovae, fit the adapted model to observed data from supernovas, and analyzed physical implications of best fit parameters. From 2013 to 2014, they were a Research Assistant at the University of Notre Dame. In 2013, they were a Process Engineer at PGT Industries, where they developed R code to simulate the production process, allowing the manipulation of various parameters, and evaluated which 1D material optimization algorithms were best suited for various processes.

Jeffrey Adams received a Bachelor of Science in Physics and Philosophy from the University of Notre Dame in 2015, after starting in 2011. In 2014, they attended Pontificia Universidad Católica de Chile as a non-degree student. Jeffrey then went on to receive a Master of Science in Logic, Computation, and Methodology from Carnegie Mellon University in 2018.