Antonia Vojtekova

Project title

Anomaly Detection in DESI Spectra using Machine-Learning Dimensionality-Reduction Techniques

Research Group: Astrophysics

Supervisor(s): Prof. Ingo Waldmann

Introduction

I graduated with MSc in Astrophysics from Masaryk University in the Czech Republic. Before joining CDT, I worked for two years for European Space Agency as a young graduate trainee, discovering endless ways to employ machine learning in astronomy. Now, I’m starting a new chapter in my life, exploring exoplanetary atmospheres with a combination of machine learning.

Project description

First year group project: London Data Company

Placement: 

Thesis:

Publications:

A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail

Predicting the rotational dependence of line broadening using machine learning

The 2024 release of the ExoMol database: Molecular line lists for exoplanet and other hot atmospheres

ExoMol line lists – LX. Molecular line list for the ammonia isotopologue 15NH3

Semiclassical Estimates of Pressure-induced Line Widths for Infrared Absorption in Hot (Exo)planetary Atmospheres

ExoMol line lists – LXIII: ExoMol line lists for 12 isotopologues of CO2

The HITRAN2024 molecular spectroscopic database