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David Armstrong

I am a Research Fellow working on exoplanet detection and characterization with the NGTS and K2 surveys. I develop and use automated methods of planet detection to improve planet population statistics, both in general and with a past focus on circumbinary planets. My other interests include studying the habitability of known exoplanets, time-variability in planetary phase curves, and the identification and classification of eclipsing binaries and variable stars in large-scale surveys.

I have a particular interest in applying machine learning techniques to astrophysical problems. Recently this has included the automatic selection of real candidates in transiting planet surveys, as well as creating fast detection and classification tools for eclipsing binaries and variable stars in the K2 survey. I work with the Computer Science and Statistics departments at Warwick, with the aim of applying the latest machine learning techniques to problems in the exoplanet field.

I am currently the Deputy Director of the Centre for Exoplanets and Habitability, a new initiative at Warwick aimed at promoting multi-disciplinary research in these areas. Our current projects include analyses of galactic habitability, dynamical and biological constraints on panspermia, and the stability of DNA in non-Earth environments.

My CV and publication list (updated August 2017) can be found here.

My Github page is here, including tools for planet candidate vetting and transit shape analysis.


I am convening a postgraduate module, "Habitability in the Universe" in Spring 2018. This is open to postgraduate students from any department, subject to department approval. Please see the module page for more details.

Data Tables

K2 Variable Catalogue II: catalogue website at MAST and CDS

-Full Tables 4, 5, 6, 7

Temperatures for Kepler Eclipsing Binary stars available at CDS


Write to:

David Armstrong,
Department of Physics,
University of Warwick,
Coventry CV4 7AL

Contact details:

E-Mail: D.J.Armstrong AT