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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, enumerative combinatorics, 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
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 September 15, 2016):
  • New paper with Harry Crane and Sergi Elizalde on the probability of avoiding consecutive patterns in the Mallows distribution is now on ArXiv. 
  • New paper with Richard Arratia on the use of a Poisson process in order to approximation a family of random combinatorial structures called assemblies now on ArXiv. 
  • Manuscript for my presentation at GASCOM 2016 in Corisca, France, on using probabilistic divide-and-conquer with the recursive method to obtain speedups for exact Boltzmann sampling. 

              Recent Talks                      Teaching                         Misc


    Papers Submitted

Papers Published (or accepted)

  • "Image Processing for C. Elegans Movement Video Streams," Los Alamos National Laboratory Technical Report LA-UR-07-5069 (with Matt Sottile, Sharif Ibrahim, and Jennifer Treanor) (2007)
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