home

Welcome to Stephen DeSalvo's home page!


My email address is [firstname][lastname]@
math.ucla.edu


Currently I am a Program in Computing Assistant Adjunct Professor at UCLA (it's basically a postdoc with some teaching).  

My research interests include probability, asymptotic analysis, combinatorial stochastic processes, exact 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), B-spline interpolation, spatial fuzzy c-means clustering and other image processing techniques in Matlab, orbital mechanics (specifically, the restricted 3-body problem and the invariant manifolds of the Sun-Earth-S/C and Earth-Moon-S/C dynamical systems), satellite communications systems, PI3K signal transduction pathway for Dictyostelium Discoideum, and I implemented many numerical and statistical algorithms from numerical linear algebra and statistical regression analysis in MathStudio.

PhD in applied mathematics at the University of Southern California in 2012 under the direction of Richard Arratia (probability)
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.


                                     Papers                            Teaching                         Misc


Some Recent Highlights (last updated August 12, 2016):
  • I just finished participating in the Predictive Policing Workshop at ICERM (at Brown University).  We analyzed call service data in the Providence, RI area.  We even had the opportunity to go on a ride-along with the police department, something I highly recommend doing since it was a great learning experience.  We modeled the call center data using a standard queuing theory model and discovered some interesting aspects of the data.  (ICERM also has a summer program for undergraduate students, very similar to the RIPS program at IPAM.)
  • PIC 10C Final Projects -- Check out the types of apps the students have made in a few weeks with a basic knowledge of Qt!

Comments