Summary
Overview
Education
Skills
PAPERS
Academic Activities
Timeline
Generic
Xiaokun Hou

Xiaokun Hou

Beijing,China

Summary

Measurement of stellar atmospheric parameters and chemical abundances.

Application of artificial intelligence algorithms in astronomical big data analysis.

Search for metal-poor stars.

Investigation of the Milky Way's formation and evolution.

Examination of diffuse interstellar bands (DIBs) to detect interstellar molecules and assess the chemical environment.

Overview

10
10
years of post-secondary education

Education

Bachelor of Engineering - Material Science

China University of Mining and Technology
Xuzhou
2015.09 - 2020.07

Doctor of Philosophy - Astrophysics

National Astronomical Observatories, CAS
Bejing
2020.09 - 2025.07

Skills

    Proficient in Python programming


    Skilled in using SPECTRUM code for synthesizing template spectra


    Experienced with various machine learning algorithms

    Highly proficient in Bayesian methods


    Familiar with fundamental organic chemistry concepts

PAPERS

Article 1: Very metal-poor stars I: a catalogue derived from LAMOST DR9

Journal: Monthly Notices of the Royal Astronomical Society

Co-authors: Xiaokun Hou, Gang Zhao, Haining Li

Publication date: June 2024

DOI: 10.1093/mnras/stae1567

Article 2: Very metal-poor stars II: chasing the formation history of the Galactic metal-poor disc (submitted)

Journal: Monthly Notices of the Royal Astronomical Society

Co-authors: Xiaokun Hou, Ruizhi Zhang, Haining Li, Dashuang Ye, Gang Zhao

Article 3: A Value-Added Catalogue of Stellar Atmospheric Parameters and Chemical Abundances Derived from LAMOST DR10 Low-Resolution Spectra (in preparation)

Co-authors: Xiaokun Hou, Gang Zhao

Academic Activities

Attended the MWGaia Doctoral Network Introductory School at the University of Coimbra. 


Presented a report at the 2024 China-Spain Bilateral Workshop on the Milky Way and Exoplanets.

Timeline

Doctor of Philosophy - Astrophysics

National Astronomical Observatories, CAS
2020.09 - 2025.07

Bachelor of Engineering - Material Science

China University of Mining and Technology
2015.09 - 2020.07
Xiaokun Hou