cv

General Information

Full Name Xingwei Gong
Pronouns He/him/his
Email 201840319@smail.nju.edu.cn

Education

  • 2021-2025
    Bachelor of Science
    Nanjing University, Nanjing, China
    • Astronomy
    • GPA: 4.51/5.00 (~6%)
  • 02-06/2024
    Visiting Research Student
    Department of Astronomy and Astrophysics, Pennsylvania State University, State College, PA
    • Supervisor: Prof. Derek B. Fox
  • 10/2020-05/2021
    Non-Degree Coursework
    Rheinisch-Westfälische Technische Hochschule Aachen
    • Business Administration and Engineering: Mechanical Engineering
    • GPA: 1.4 (Scale from 5.0 to 1.0)

Research Experience

  • 04/2024-06/2024
    Development of a Coincidence Searching Method for IceCube Real-Time Alerts
    Pennsylvania State University
    • supervised by Prof. Derek B. Fox
    • Developed code for Monte-Carlo pseudo experiments.
    • Edited the AlertsCoincidence page on the IceCube Collaboration Wiki, added method description and preliminary results.
  • 02/2024-04/2024
    A Proposal for Observing X-ray Broad Absorption Feature in TXS 0506+056 with XRISM
    Pennsylvania State University
    • supervised by Prof. Derek B. Fox
    • Reviewed findings on ultra-fast outflows and broad absorption features in AGN.
    • Performed spectrum simulation and jet dilution estimation.
    • Co-authored an observation proposal for XRISM.
  • 2023-2024
    Stochastic Acceleration in Gamma-Ray Burst Afterglow
    Nanjing University
    • supervised by Prof. Ruo-Yu Liu
    • Reviewed key findings on stochastic acceleration and quasi-linear theory, adapted the stochastic acceleration model to analyze the electron-proton environment in GRB afterglows.
    • Developed code for numerical computation; Performed parameter tuning and result analysis.
    • Authored and presented a poster on the 2nd LHAASO Collaboration Conference in 2024.
    • First Author. Manuscript in preparation A Second Relativistic Particle Component in GRB Afterglow: Insights from LHAASO’s Observation on GRB 221009A
  • 2022-2024
    Machine Learning
    Nanjing University
    • supervised by Prof. Ruo-Yu Liu and Dr. Hai-Ming Zhang
    • Simulated observed counts map, generated training dataset; Model training, optimization, analysis and data visualization.
    • Team collaboration and project management, authored project documentation, presentations and reporting.
    • Co-authored a poster on the 2nd LHAASO Collaboration Conference in 2024.

Honors and Awards

  • 2022
    • People's Scholarship 2nd Prize
    • Elite Program Scholarship 2nd Prize
    • NAOC Scholarship
  • 2023
    • People's Scholarship 1st Prize
    • Elite Program Scholarship 2nd Prize
    • Yongman Yang Scholarship
  • 2024
    • People's Scholarship 1st Prize
    • Elite Program Scholarship 2nd Prize

Research Interest

  • Cosmic Rays and Particle Acceleration
    • gamma-ray astronomy
    • multi-messenger modeling
  • Plasma Astrophysics
    • Plasma theories
    • Numerical simulations
  • High Energy Trainsients
    • phenomenological models

Certifications

  • Language Proficiency
    • TOEFL iBT
           28 R30 W28 S25
    • Deutsches Sprachdiplom der Kultusministerkonferenz
           (German Language Certificate) C1

Skills

  • Programming Skills
    • Python, C++, C
  • Tools
    • Coding: PyTorch, Git
    • Observation: HEASoft, XSPEC, Fermi, SAS, IRAF
    • Academic Writing: LaTeX, Markdown
  • Computing Methods
    • Machine Learning
    • Numerical Methods (Finite Difference, Monte Carlo, MCMC...)
    • Parallel programming with python (multiprocessing)
  • Other Skills
    • Linux Server Maintenance

Other Interests

  • Hobbies: Cello Playing, Swimming, Cooking.