Welcome!

I am a PhD candidate in the Mathematics Dept. at the University of California, Los Angeles. I am advised by Chris Anderson. My main research interests are in digital signal processing and parallel numerical methods, particularly throughput-oriented and stream processing methods. In addition to my dissertation research Ive spent the past three summers doing research at the National Center for Atmospheric Research, mainly on wavelets and implementing operator compression algorithms on accelerator hardware. I've given a number of talks on this and was recently featured in an article which also describes some of this work. . [my cv]

> Selected Publications

John Clyne (NCAR), Jesse Lord (University of Colorado, Boulder), Christopher Mckinlay,
Mark Rast (University of Colorado, Boulder)
Wavelet decomposition of forced turbulence: applicability of the iterative Donoho-Johnstone threshold,
submitted to AIP Physics of Fluids, 4/11

Christopher Mckinlay, Craig Citro (University of Washington, Seattle)
Scalable Application of Compressed Linear Operators on GPU Hardware
14th SIAM Conference on Parallel Processing for Scientific Computing

> Selected Past Teaching

Summer 2011, Math 135: Ordinary Differential Equations

June 2011, Sound Synthesis Workshop at the Machine Project

May 2011, Audio Recording and Engineering Workshop at the Machine Project

Spring 2011, Math 132: Complex Analysis for Applications

Winter 2011, Computing 10b: Intermediate C++ Programming

Fall 2010, Computing 10a: Introductory C++ Programming

Fall 2010, Math 13b: Integration and Infinite Series

May 2010, Sound Synthesis Workshop at the Machine Project

Summer 2009, Math 33a: Intro. to Differential Equations

Spring 2009, Math 151a: Numerical Analysis (sample python code only)