Nina Maksimova

National Science Foundation Graduate Research Fellow at Harvard University Graduate School of Arts and Sciences
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Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, Massachusetts, United States, US
Languages
  • English Native or bilingual proficiency
  • Russian Native or bilingual proficiency
  • German Professional working proficiency

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Experience

    • United States
    • Higher Education
    • 100 - 200 Employee
    • National Science Foundation Graduate Research Fellow
      • Jul 2016 - Present

      Developer (one of three) for Abacus, a cosmological N-body simulation code with superlative speed and accuracy. Won ALCC computing grant on the DOE's Summit supercomputer to produce the largest N-body dataset to date, enabling the work of multiple international, experimental collaborations. Developer (one of three) for Abacus, a cosmological N-body simulation code with superlative speed and accuracy. Won ALCC computing grant on the DOE's Summit supercomputer to produce the largest N-body dataset to date, enabling the work of multiple international, experimental collaborations.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Harvard Summer School Faculty Member
      • Nov 2016 - Present

      Created and taught courses in scientific computing and cosmology / astrophysics. Designed every aspect of the courses from scratch to rapidly introduce high school students to college-level topics and inspire them to pursue the STEM fields further. Created and taught courses in scientific computing and cosmology / astrophysics. Designed every aspect of the courses from scratch to rapidly introduce high school students to college-level topics and inspire them to pursue the STEM fields further.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Course Design Assistant
      • Jan 2016 - Jul 2016

      Collaborated on re-designing Dartmouth's introductory freshman physics curriculum into an active learning style course. Led literature review on research in scientific education and incorporated the results of previous studies into the new curriculum. Designed lectures, group activities, homework assignments, collaborative student projects. In addition, served as an on-call department-wide lecturer, grader, tutor, and proctor.

    • Undergraduate Researcher
      • Feb 2012 - Jun 2016

      Authored a series of peer-reviewed papers on topics in theoretical cosmology. Awarded Gazzaniga Science Award for best senior thesis in the physical sciences. -ruled out a cosmological model using observational constraints on the spectral distortion of the Cosmic Microwave Background -investigated the dynamics of gravitational wave - gauge field interactions and, together with co-authors, published a prize-winning essay in the 2017 competition of the Gravity Research Foundation.-presented work at professional conferences and in university seminars Show less

    • Study Group Leader and Peer Tutor
      • Sep 2012 - Jun 2016

      Worked flexibly with a variety of teaching approaches, including one on one peer tutoring, leading small to medium study groups, and conducting final exam review sessions for courses with 100+ students. Experience working with students with learning disabilities. Taught Electromagnetism, Classical Mechanics, and Quantum Mechanics. Awarded Dean's plate for services to the college. Worked flexibly with a variety of teaching approaches, including one on one peer tutoring, leading small to medium study groups, and conducting final exam review sessions for courses with 100+ students. Experience working with students with learning disabilities. Taught Electromagnetism, Classical Mechanics, and Quantum Mechanics. Awarded Dean's plate for services to the college.

    • United States
    • Research Services
    • 700 & Above Employee
    • Student Associate Researcher
      • Jun 2015 - Dec 2015

      Built and optimized a computational pipeline in Python to use experimental radar observations to reconstruct physical features of the Northern Lights. Applied regularization algorithm to advanced modular incoherent scatter radar data to infer vector electric fields from measured line of sight electron velocities. Presented results at the American Geophysical Union conference in San Francisco. Built and optimized a computational pipeline in Python to use experimental radar observations to reconstruct physical features of the Northern Lights. Applied regularization algorithm to advanced modular incoherent scatter radar data to infer vector electric fields from measured line of sight electron velocities. Presented results at the American Geophysical Union conference in San Francisco.

Education

  • Harvard University
    Doctor of Philosophy - PhD
    2016 - 2022
  • Harvard University
    Master of Arts - MA, Astronomy and Astrophysics
    2016 - 2018
  • Dartmouth College
    Bachelor of Arts - BA, Physics
    2011 - 2015

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