Kaiming Cui

Postdoctoral Research Fellow in Astrophysics

Experienced in exoplanet detection and statistical methods, implementing cutting-edge AI solutions for astronomical data.

Research Focus

• • • Deep learning for transit detection
    • Exoplanet statistical studies
    • Time-series analysis
    • Stellar activity and variability

Technical Expertise

• Python
• C
• C++
• PyTorch
• MESA
• IRAF

Professional Background

Training, appointments, and areas of expertise.

Education

• Ph.D. in Astrophysics

  University of Chinese Academy of Sciences, Beijing

  2015 – 2021

Current Position

Postdoctoral Research Fellow

University of Warwick, Department of Physics

Leading research in exoplanet demographics.

Research Portfolio

Selected projects in exoplanet science, stellar astrophysics, and AI applications.

Machine Learning & AI

Deep Learning for Exoplanet Transit DetectionLink opens in a new window

Novel CNN for precise transit identification and false-positive control.

Deep Learning Framework for Light Curve ClassificationLink opens in a new window

Weakly supervised model achieving strong cross-survey performance.

Exoplanet Science

Demographics of Close-In TESS Exoplanets Orbiting FGK Main-sequence StarsLink opens in a new window

Occurrence rate esitmation for TESS-SPOC FGK main-sequence stars.

Survey of Substellar Companions to Nearby StarsLink opens in a new window

Multi-epoch radial-velocity analysis revealing the brown-dwarf desert.

Stellar Astrophysics

Long-Period Stellar Rotation from Kepler PhotometryLink opens in a new window

Extensive catalogue of slow rotators informing angular-momentum evolution.

KIC 12268220: A δ Scuti Pulsating StarLink opens in a new window

Joint photometric and spectroscopic analysis of an Algol-type system.

Software & Tools

Open-source packages and web applications for the astronomical community.

Online TESS Light Curve Viewer

Web application

Interactive viewer for exploring and analysing TESS light curves.

Visit ToolLink opens in a new window

Py-PDM

Python package

Fast implementation of the Phase Dispersion Minimization algorithm.

GitHubLink opens in a new window PyPILink opens in a new window

Deep-Transit

Python package

Transiting exoplanet identification based on the deep learning object detection algorithm.

GitHubLink opens in a new window PyPILink opens in a new window

Deep-LC

Python package

A Python package for general astrophysical light curve classification.

GitHubLink opens in a new window PyPILink opens in a new window