Skip to content

Yong-Kun Zhang

 National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China

Personal Website  |  SukiYume  |  ORCID  |  ADS  |  PhD Thesis  |  My CV  |  ykzhang@nao.cas.cn

Here is Yong-Kun Zhang (张永坤), a Ph.D. in Astrophysics from the National Astronomical Observatories, Chinese Academy of Sciences (NAOC).

My research primarily focuses on fast radio bursts, radio signal processing, and the application of machine learning in astronomy. I have also explored various other fields, including using turbulence analysis techniques to study the large-scale structure of the Milky Way from a dynamical perspective with star clusters. I am particularly interested in developing innovative methods to solve complex problems and continuously learning new technologies and tools, some projects can be found in Section Outreach and Other Experience. For more information, please visit My Research Page, PhD Thesis and GitHub/SukiYume.

I am skilled in Python, TensorFlow, PyTorch, and web scraping. I am fluent in English and Chinese (native) and proficient in Japanese (N2). Outside of my professional work, I enjoy engaging in photography, which you can find in my Gallery. Additionally, welcome comments at the bottom of the page.

Education Background

  • 2019.09 - 2024.06
    National Astronomical Observatories, Chinese Academy of Sciences (NAOC)
    Ph.D. of Astrophysics
  • 2025.09 - 2019.06
    University of Chinese Academy of Sciences (UCAS)
    Bachelor of Physics

References

Honors and Awards

  • 2024.07
    President Award (Special Prize) of Chinese Academy of Sciences (top 0.1%)
  • 2024.07
    Excellent Graduate of Beijing (top 1%)
  • 2023.12
    National Scholarship for Graduate Student [1] (top 0.1%)
  • 2023.08
    People's Choice Poster in ACAMAR 9 (top 5%)
  • 2021.05
    Merit Student of UCAS (top 10%)

Teaching

  • 2020 - 2022
    Advanced Astrophysics (070400M01003H)
    Teaching assistant for graduate course at UCAS
    Prof. Ji-Feng Liu

Professional Service

  • 2024
    Referee for Monthly Notices of the Royal Astronomical Society
  • 2023
    Referee for Nature Astronomy

Talks and Colloquia

  • 2024.11
    DRAFTS & An Active Repeating FRB in a Clean Environment
    FRB 2024, Thailand
  • 2023.12
    The Stochastic Nature of Active Repeating Fast Radio Bursts
    DSA Meeting, Online
  • 2023.11
    FAST Observations of Fast Radio Burst
    FRB 2023, Online, Invited
  • 2023.11
    The Stochastic Nature of Active Repeating Fast Radio Bursts
    FRB 2023, Online
  • 2023.08
    The Stochastic Nature of Repeating FRBs
    ACAMAR 9, Perth, Australia, Poster
  • 2023.05
    The Stochastic Nature of Active Repeating FRBs
    Chinese Fast Radio Burst Conference 2023, Hefei, China
  • 2021.09
    Time Domain Analysis of two active repeating FRBs
    ACAMAR/FRB, Online
  • 2021.07
    Periodic Analysis of FRB 121102
    FAST/Future Pulsar Symposium 9, Jinan, China

Approved PI Proposals

  • 2024
    • FAST, PT2024_0148, 9 hours
      Monitoring an active repeating FRB in a clean environment
    • FAST, PT2024_0263, 6 hours
      A Mini Survey for White Dwarf Pulsar
  • 2023
    • FAST, PT2023_0100, 9 hours
      Do All Active Repeating FRBs Have Complex Magnetic Environments?
  • 2022
    • GBT, GBT/22A-502, 41 hours
      Monitoring FRB 20200120E in a Globular Cluster for Polarization Insights
    • FAST, PT2022_0067, 24 hours
      Constrain the Relation between Fast Radio Bursts and Star Formation Rates
  • 2021
    • FAST, PT2021_0039, 20 hours
      Do all fast radio bursts repeat?

Outreach and Other Experience

  • MSP / This is a popular science project I built for converting radio data into audio.
    • Based on this project, I created a video titled "Sounds from the Depths of the Universe", which was given as a gift to new students at UCAS in 2020. The video was widely shared by media outlets such as People's Daily and CCTV News, receiving widespread acclaim.
  • CHIME VOEvents / This is the website I built to summarize CHIME VOEvents.
  • DRAFTS / This is a tool I built using deep learning for real-time searching of single pulses in radio data.
  • XiaoQing / Based on web scraping and large language models, I created my AI assistant, XiaoQing (小青).

Publications

Find Full Paper List in ADS or ORCID.

Loading, please wait...


  1. Most prestigious scholarship for graduate student in China ↩︎

基于 MIT 许可发布