This is Kaiming Cui. I am a postdoc at the Tsung-Dao Lee Institute.
Research Interests
Transiting exoplanet detection with deep learning algorithms.
Statistical studies for exoplanetary populations.
Stellar evolution, stellar magnetic activity and stellar fundamental parameters (e.g., rotation period, age, and metallicity) for exoplanet formation and evolution.
Mining data and modeling light curves in photometric data.
Skills
Photometry: PSF modeling
Spectroscopy: Echelle and slit spectra with Image Reduction and Analysis Facility (IRAF).
Eclipsing binary modeling: Wilson–Devinney code, PHOEBE.
Stellar evolution: Modules for Experiments in Stellar Astrophysics (MESA).
Asteroseismology: SigSpec, Period04 and GYRE.
Programming: Skilled in Python; familiar with C, C++.
Familiar with statistical methods in astrophysics, approaches to deal with large dataset, machine learning and deep learning methods, and Cloud-based Docker technique.
Publications