PDF Version | HTML version | E-mailable HTML version | Plain Text (.txt) version.

Christopher H. Greer

(773) 680 6951

11000 Walnut Creek Lane
Knoxville, TN 37932

OBJECTIVE

To apply my data analysis and independent research skills to a new set of problems in the financial industry.

EXPERIENCE

2002 to Present

University of Chicago

Chicago, IL

Department of Astronomy and Astrophysics / Kavli Institute for Cosmological Physics.

Graduate Research Fellow, advised by Dr. John Carlstrom

  • Developed critical analog and digital electronics for a novel, distributed control system as part of the construction and commissioning of a new interferometric observatory
  • Authored a custom MATLAB and Perl utility to monitor observatory performance online
  • Applied Markov chain Monte Carlo techniques to analysis of data from several observatories to further understanding of galaxy clusters
 

1998 to 2002

Northwestern University

Evanston, IL

Department of Physics and Astronomy.

Research Assistant, advised by Dr. Giles Novak

  • Characterized performance of Viper telescope optics with ray tracing and astronomical data analysis, increasing observing efficiency
  • Deployed to the South Pole from November to December 2001
 

Research Assistant, advised by Dr. Mel Ulmer

  • Implemented a supernova survey using archival Hubble Space Telescope data
  • Developed a data analysis pipeline with publicly available analysis tools and custom C and IDL programs
 

2000 to 2001

National Optical Astronomy Observatory

Tucson, AZ

Member of the Summer Research Expereince for Undergraduate Program, working with the NOAO Deep Wide-Field Survey team. Continued on into the following academic year.

Research Assistant, advised by Dr. Arjun Dey

  • Contributed innovative reduction techniques for the NOAO Deep Wide-Field Survey
  • Constrained models of galaxy evolution in the early Universe with survey data
  • Observed with the Mayall 4-meter telescope at Kitt Peak National Observatory
  • Implemented an independent study of small-scale structure in interstellar gas
 

SKILLS, TECHNOLOGIES & PROJECTS

  • Data Analysis: Reduction for low Signal-to-Noise Data. Bayesian Statistics. Markov chain Monte Carlo techniques. Fourier signal analysis. Image analysis.
  • Programming: C/C++, IDL, MATLAB, Tcl/Tk, Perl, FORTRAN.
  • Software: Maple, Mathematica, LaTeX, LabVIEW, MS Office and equivalent, various compilers.
  • Operating Systems: Linux, FreeBSD, Windows, Mac OS
  • Miscellaneous: Familiar with German. Machining techniques. Astronomical Observing. Project Management.

EDUCATION & INTERESTS

  • Doctoral Candidate, University of Chicago Department of Astronomy and Astrophysics, 2003 to Present.
  • M.S. in Astronomy and Astrophysics, University of Chicago, 2004.
  • B.A. in Physics with Honors and Mathematics, Magna cum Laude, Northwestern University, 2002.

References available upon request.

PDF Version | HTML version | E-mailable HTML version | Plain Text (.txt) version. Valid XHTML 1.1 / CSS 2.0