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Research Assistant Resume

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SUMMARY

  • Passionate data enthusiast wif outstanding quantitative skills.
  • Excellent programming skills wif applications on model building and data analysis.
  • Solid background in mathematics and statistics developing analytical models on diverse subjects.
  • Strong interpersonal skills of communicating and collaborating wif others TEMPeffectively.

PROFESSIONAL EXPERIENCE

Research Assistant

Confidential

Responsibilities:

  • Coordinated a sky survey to observe 100 galaxies at multi - wavelengths and detected cold gas in 5 galaxies half age of the universe.
  • Submitted various SQL queries to retrieve data from large public surveys.
  • Written ~ 20 proposals and obtained observation time on 8 world-class telescopes.
  • Performed regression analysis (linear, polynomial, multivariate) to investigate physical properties.
  • Published 7 papers in renowned journals and presented results at international conferences.
  • Supervised 3 undergraduate students on observations, data reduction, and data analysis.

Research Assistant

Confidential

Responsibilities:

  • Built analytical models on the dynamics and radiation of a complex neutron star system.
  • Calculated ordinary differential equations using Runge-Kutta method wif adaptive step size which reduced the runtime by ~ 10 times.
  • Performed Monte-Carlo simulations to generate neutron stars wif randomly distributed initial properties and predicted their evolutions.

Teaching Assistant

Confidential

Responsibilities:

  • Led laboratory, observation, recitation, and review sessions for non-science majors.
  • Served as the department representative at the Student Association of Graduate Students.
  • Participated in scientific outreach such as Friday Night Open House and Astronomy Day.

Research Assistant

Confidential

Responsibilities:

  • Derived equations and simulated the evolution of Gamma-Ray Burst afterglows using Fortran.
  • Investigated physical parameters of Gamma-Ray Bursts by comparing theoretical models wif observational data using chi-square analysis.

TECHNICAL SKILLS

  • Fluent in UNIX shell scripts
  • PythonSQL
  • Fortran
  • IDL. Familiar wif R
  • CMathematica.

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