Tomás E. Müller Bravo

Tomás E. Müller Bravo

PhD candidate in Astrophysics

University of Southampton


I am interested in Type Ia supernovae as distance indicators, the physics of Type II supernovae (like the explosion mechanism), and on other types of transients in general (e.g., peculiar supernovae, kilonovae, tidal disruption events, etc.). My interests also lie in data science (e.g. deep learning) and coding in Python. I am an active member of ePESSTO+ where I am incharge of the data-reduction pipeline. My current work focuses on PISCOLA, a data-driven type Ia supernova fitting code and on the light curve analysis to find an alternative parameterisation to improve the precision in distance measurements.


  • Supernovae
  • Cosmology
  • Transients
  • Data Science
  • Surveys Science


  • PhD in Astronomy, 2021 (expected date)

    University of Southampton

  • MSc in Astrophysics, 2017

    Pontificia Universidad Católica de Chile

  • BSc in Astronomy, 2015

    Universidad de Chile



Advance coding with Python (pandas, astropy, scikit-learn, etc.) including Open Source software development and JOSS referee


Experience with different statistical tools (e.g., Bayesian analysis)


Experience with different Linux distros

Machine Learning

Machine learning for regression, outlier detection, classification, etc. Former LSSTC Data Science Fellow

Artificial Intelligence

Deep learning with Keras and Pytorch packages. Participation in Kaggle competitions


Spanish (native), English (fluent) and French (basic)


I love playing the drums, it is one of my hobbies. Let me know if you want to jam!

Recent Publications

For a complete list of ADS publications I have been involved with, click here or quickly discover relevant content by filtering publications.

PS15cey and PS17cke: prospective candidates from the Pan-STARRS Search for Kilonovae

Time domain astronomy was revolutionised with the discovery of the first kilonova, AT2017gfo, in August 2017 which was associated with …

SN 2017ivv: two years of evolution of a transitional Type II supernova

We present the photometric and spectroscopic evolution of the type II supernova (SN II) SN 2017ivv (also known as ASASSN-17qp). Located …

SN 2018gjx reveals that some SNe Ibn are SNe IIb exploding in dense circumstellar material

We present the data and analysis of SN 2018gjx, an unusual low-luminosity transient with three distinct spectroscopic phases. Phase I …

The tidal disruption event AT 2018hyz - I. Double-peaked emission lines and a flat Balmer decrement

We present results from spectroscopic observations of AT 2018hyz, a transient discovered by the All-Sky Automated Survey for Supernova …

SN 2019ehk: A Double-peaked Ca-rich Transient with Luminous X-Ray Emission and Shock-ionized Spectral Features

We present panchromatic observations and modeling of the Calcium-rich supernova (SN) 2019ehk in the star-forming galaxy M100 (d ≍ 16.2 …

Grants, Awards & Fellowships

RAS conference/meeting grant

Beca de Doctorado en el Extranjero, Becas Chile

PhD Scholarship from the chilean government

LSSTC Data Science Fellow

The LSSTC Data Science Fellowship program is a two year training program, designed to teach skills required for LSST science that are not easily addressed by current astrophysics programs.

Recent Posts

Organising my first conference (during a pandemic!)

This post was edited by Cristobel Soares. Check this link for the SEPnet version of it. Every year SEPnet provides an opportunity to a group of postgraduate researchers to organise a two-day student-led conference at the University of Southampton.

Fitting Data - Basic implementation of Python packages

In this notebook I show some basic implementation of different Python packages for data fitting. The idea is to learn the different options there are out there so the reader can then study them in more detail if needed.

Judging a book by its cover: estimating red supergiant masses from their surface abundance

See below a guest post I wrote for Astrobites. For the original one click here. Title: The surface abundances of Red Supergiants at core-collapse Authors: Ben Davies and Luc Dessart




Type Ia supernova light curve fitting code

Type II supernova fitting code

Type II supernova fitting code

PESSTO data-reduction pipeline

ePESSTO+ data-reduction pipeline

TESS SN Pipeline

Pipeline for extracting supernova light curves with TESS data

Invited Talks

Building a Type Ia Supernova Hubble Diagram with PISCoLA

Imperial College London, London, UK

Cosmology with VEILS: Building an Infrared SN Ia Hubble Diagram

Aura, La Serena, Chile

Cosmology with VEILS: Building an Infrared SN Ia Hubble Diagram

European Southern Observatory, Santiago, Chile

Type Ia Supernova Cosmology: infrared light as a new window

Charles University, Prague, Czech Republic

Organized Workshops and Conferences


The Big Data Era in Astronomy

Student-led conference hosted at the University of Southampton (Conference website)

Software Carpentry Workshop

SCW at the Max Planck Institute for Plasma Physics (Workshop website)

Software Carpentry Workshop

SCW at the University of Southampton (Workshop website)


  • University Road, Southampton, Hampshire, SO17 1BJ