Nina Filippova

  • Program Year: 2
  • Academic Institution: University of Texas at Austin
  • Field of Study: Computational Astrophysics
  • Academic Advisor: Stella Offner
  • Practicum(s):
    Los Alamos National Laboratory (2023)
  • Degree(s):
    B.A. Physics, Princeton University, 2020

Summary of Research

Many astrophysical processes span wide ranges in spatial and temporal scales, and physical experiments aimed at testing our current understanding of these processes are often infeasible. I use numerical simulations to help bridge theory and observations, with an emphasis on topics relating to star formation, such as, "Why is star formation so inefficient?" and "What mechanisms may result in the formation of bound stellar systems?" Currently, I am exploring how protostellar disks (which form around young protostars as a consequence of the conservation of angular momentum during the gravitational collapse process) may become gravitationally unstable, and subsequently fragment to form tightly-bound companion stars.


Kim, J.-G., Ostriker, E.C., and Filippova, N., "Star Formation Efficiency and Dispersal of Giant Molecular Clouds with UV Radiation Feedback: Dependence on Gravitational Boundedness and Magnetic Fields." The Astrophysical Journal 911(2):128 (2021).

Moriwaki, K., Filippova, N., Shirasaki, M., and Yoshida, N., "Deep learning for intensity mapping observations: Component extraction." Monthly Notices of the Royal Astronomical Society: Letters 496.1 (2020).
"Intensity Mapping of [OII], [OIII], Halpha, Heta, [NII], and [SII] Emission Lines," Workshop on Line Intensity Mapping, National Astronomical Observatory of Japan, July 2018.
"Applications of Superresolution Fluorescence Microscopy," Astronomy and Physics REU Summer Symposium, University of Utah, August 2017.


Princeton University, Graduated with Honors in Physics, 2020.

Princeton University, Allen G. Shenstone Prize in Physics, 2018, 2020.

University of Utah, Astronomy and Physics REU Summer Symposium - Honorable Mention, 2017.