Research interests: machine learning, Bayesian inference, and astrophysics, with a current focus on modelling stellar activity in radial-velocity and photometric data for exoplanet detection.
Open to collaborations in these areas.
Research interests: machine learning, Bayesian inference, and astrophysics, with a current focus on modelling stellar activity in radial-velocity and photometric data for exoplanet detection.
Open to collaborations in these areas.
Updated version of a simple MCMC code for cosmological parameter estimation where only expansion history matters.
Doppler-shift Inference with Artificial Neural Networks using Radial Velocity data
Python 2
Mini-course about artificial neural networks as part of the lecture Machine Learning Basics in the IV Mexican School of AstroCosmostatistics (MACS).