Marcus Simpson Resume
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Marcus Simpson is an enthusiastic Astrophysics graduate seeking a position applying his experience in dark matter detection research. He has a B.S. in Astrophysics from UCLA where he collaborated on eliminating dark matter particle candidates through data analysis of experiments. As an intern at the San Diego Supercomputing Center, he designed simulations of astrophysical phenomena and operated a supercomputer. His lab experience includes designing data acquisition systems, analyzing electromagnetic effects, and operating a telescope.
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![MARCUS W. SIMPSON
40219 179th St. East msimpson4566@yahoo.com
Palmdale, CA 94591 Mobile: (661) 917-7986
Home: (661) 264-0722
Enthusiastic and adaptable recent Astrophysics graduate with experience designing/performing
experiments and data analysis techniques. Specialized in dark matter detection research, applies
theoretical concepts to a practical setting, and coordinates efficiently with a team in a lab
setting. Operates with a methodical approach to situations and thrives in a fast-paced setting.
EDUCATION
University of California, Los Angeles (UCLA) B.S. in Astrophysics (June 2015)
● Coursework includes:Kinematics, Electromagnetism, Circuitry, Optics & Wave Phenomena,
Thermodynamics, Quantum Mechanics,Special Relativity, Stellar Evolution, Cosmology
● Extensive lab experience, data analyses,programming exposure, practice of scientific method
RESEARCH EXPERIENCE
Assistant Researcher (Sept 2013 – July 2015)
Astroparticle Physics, UCLA Physics and Astronomy Dept.
● Collaborated with Dr. David Cline on eliminating dark matter particle candidates via direct detectordata
● Analyzed and compared data from Fermi, DM Ice, Xenon100 experiments using Information Theory
● Wrote many scientific papers: Supersymmetry, WIMP Detection Methods,Dark Matter at Galactic Center
Noteworthy Paper: “Comparison of DAMA/LIBRA and DM ICE Results using Information Theory to
Rule out Dark Matter Claims” [arXiv:1504.04633]
Astrocomputing Intern (July – August 2014)
HiPACC ISSAC Neutrino & Nuclear Astrophysics, San Diego Supercomputing Center
● Designed simulations of big bang nucleogenesis,supernovae,&galaxy evolution
● Operated and managed a supercomputerwhile applying it to data intensive calculations
Exhibit Coordinator (March – June 2012)
“Public Science: Peepshows, Caskets, and Microscopes”, UCLA Library Special Collections
● Coordinated with students and library staff to manage/present our own exhibit on a history of science
● Unearthed many rare artifacts and practices that led to the origins of modern medicine
LAB EXPERIENCE
- Designing entire data acquisition systems for experiments using myDAQ instruments
- Writing data analysis programs that accurately measured electromagnetic effects
- Experimenting with optics: effects on wave fronts, lens arrays, parallel beam compressors
- Operating 24-inch Cassegrain telescope to take long exposure images of stars
- Developing python scripts to process telescope images and calculate properties of stars
- Applying theory to construct our own Van de Graaf generator and foxhole radio
- Measuring radioactive decay from a neutron reactor on silver isotopes
- Efficient in working with a group to analyze results and write a comprehensive summary
SOFTWARE: Proficient in C++, Python, Mathematica, Labview, LaTeX, Excel, UNIX.
Exposure to Fortran and AutoCAD](https://image.slidesharecdn.com/181c5f5e-439f-4843-a5c7-3141d201beb7-151003233144-lva1-app6891/85/Marcus-Simpson-Resume-1-320.jpg)
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- 1. MARCUS W. SIMPSON 40219 179th St. East msimpson4566@yahoo.com Palmdale, CA 94591 Mobile: (661) 917-7986 Home: (661) 264-0722 Enthusiastic and adaptable recent Astrophysics graduate with experience designing/performing experiments and data analysis techniques. Specialized in dark matter detection research, applies theoretical concepts to a practical setting, and coordinates efficiently with a team in a lab setting. Operates with a methodical approach to situations and thrives in a fast-paced setting. EDUCATION University of California, Los Angeles (UCLA) B.S. in Astrophysics (June 2015) ● Coursework includes:Kinematics, Electromagnetism, Circuitry, Optics & Wave Phenomena, Thermodynamics, Quantum Mechanics,Special Relativity, Stellar Evolution, Cosmology ● Extensive lab experience, data analyses,programming exposure, practice of scientific method RESEARCH EXPERIENCE Assistant Researcher (Sept 2013 – July 2015) Astroparticle Physics, UCLA Physics and Astronomy Dept. ● Collaborated with Dr. David Cline on eliminating dark matter particle candidates via direct detectordata ● Analyzed and compared data from Fermi, DM Ice, Xenon100 experiments using Information Theory ● Wrote many scientific papers: Supersymmetry, WIMP Detection Methods,Dark Matter at Galactic Center Noteworthy Paper: “Comparison of DAMA/LIBRA and DM ICE Results using Information Theory to Rule out Dark Matter Claims” [arXiv:1504.04633] Astrocomputing Intern (July – August 2014) HiPACC ISSAC Neutrino & Nuclear Astrophysics, San Diego Supercomputing Center ● Designed simulations of big bang nucleogenesis,supernovae,&galaxy evolution ● Operated and managed a supercomputerwhile applying it to data intensive calculations Exhibit Coordinator (March – June 2012) “Public Science: Peepshows, Caskets, and Microscopes”, UCLA Library Special Collections ● Coordinated with students and library staff to manage/present our own exhibit on a history of science ● Unearthed many rare artifacts and practices that led to the origins of modern medicine LAB EXPERIENCE - Designing entire data acquisition systems for experiments using myDAQ instruments - Writing data analysis programs that accurately measured electromagnetic effects - Experimenting with optics: effects on wave fronts, lens arrays, parallel beam compressors - Operating 24-inch Cassegrain telescope to take long exposure images of stars - Developing python scripts to process telescope images and calculate properties of stars - Applying theory to construct our own Van de Graaf generator and foxhole radio - Measuring radioactive decay from a neutron reactor on silver isotopes - Efficient in working with a group to analyze results and write a comprehensive summary SOFTWARE: Proficient in C++, Python, Mathematica, Labview, LaTeX, Excel, UNIX. Exposure to Fortran and AutoCAD