Welcome to Stephen DeSalvo's home page!
I am currently a quantitative developer at Praedicat. The technological aspects are what really got me excited to explore this opportunity, and I found the people involved to be quite exceptional and inspiring. I am no longer scheduled to teach any more PIC classes in the future. Below you will find my research interests and papers, many of which are still under review by refereed journals. Please feel free to reach out if you have any questions or comments with respect to these topics! My research interests include probability, asymptotic analysis, enumerative combinatorics, random sampling of conditional distributions, integer partitions, Poisson approximation (Stein's method), and local central limit theorems. I also have an extensive applied mathematics background, see Mathematical and Biological Applications. I have been teaching using the new C++11/14 ISO Standard, and I have worked with MPI (message passing interface) for parallel computing; Bspline interpolation; spatial fuzzy cmeans clustering, and other image processing techniques in Matlab; orbital mechanics, specifically, the restricted 3body problem and the invariant manifolds of the SunEarthS/C and EarthMoonS/C dynamical systems; satellite communications systems, in the form of calculating channel capacity under various forms of noise; PI3K signal transduction pathway for Dictyostelium Discoideum; I also implemented many numerical and statistical algorithms from numerical linear algebra and statistical regression analysis in MathStudio. I also recently participated in several workshops in applied mathematics: predictive policing in Providence, Rhode Island, where we looked at dispatch data to design an optimal allocation of police resources at a district level; and also a workshop for mathematical problems in industry at Duke University, where I worked with ReVon on analyzing triage data for asthma and COPD patients using various machine learning and statistical tools. Postdoc at the University of California Los Angeles working with Igor Pak and more recently Georg Menz. PhD in applied mathematics at the University of Southern California in 2012 under the direction of Richard Arratia. Master's degree in statistics at the University of Southern California in 2009. I worked with Fadil Santosa as an undergraduate student in conjunction with the Minnesota Supercomputing Institute and an REU at the University of Minnesota. Some Recent Highlights (last updated August 9, 2017):
Papers Submitted
2018+
