Michael McCoy

Graduate Student, California Institute of Technology
Pasadena, California, United States

Research field: Mathematics - Miscellaneous
Computational harmonic analysis and convex optimization using tools from linear algebra and probability theory, with a view towards applications in signal processing and machine learning.

Publications

Journal Article (1)
- M. McCoy, Joel A. Tropp (2010) Two Proposals for Robust PCA using Semidefinite Programming, 1-21. In Arxiv preprint arXiv:1012.1086.
  http://arxiv.org/abs/1012.1086
  
  Download PDF (570.65 KB)

Awards and Grants

Jun 2006

NSF Summer Research Experience
Feb 2006

VIGRE Stipend for independent undergraduate research

Biographical Information

Native Texan.

CV

Professional Experience

2007 - Present

Graduate Student at California Institute of Technology
Pasadena, California, United States
Classes taught:
TA for ACM95/100 a/b, Introductory Methods of Applied Mathematics, Fall/Winter 2008-2009
TA for ACM118 Modern Statistical Methods, Fall 2009

Jun 2007 - Aug 2007

Intern at Coherent Logix Corp.
Austin, Texas, United States

Sep 2006 - May 2007

Undergraduate Research Assistant at Institute for Computational Engineering Sciences, The University of Texas at Austin
Austin, Texas, United States

Jan 2005 - Feb 2006

Senior Student Associate at Applied Research Labs
Austin, Texas, United States

Education

2007 - Present

California Institute of Technology in Pasadena, California, United States

Sep 2003 - Mar 2007

The University of Texas at Austin in Austin, Texas, United States
Bachelor of Science Electrical Engineering