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Thomas Killestein

About me:

I am a second year PhD student in the Astronomy and Astrophysics group at the University of Warwick. My supervisor is Danny Steeghs, and I work as part of the GOTO team, searching for optical counterparts to gravitational wave-driven merger events. My current focus is on developing high performance deep learning classification algorithms for finding transient candidates in GOTO data, and leveraging the GOTO discovery stream to find unique and interesting astrophysical transients.


Research interests:
  • Detection and characterisation of astrophysical transients
  • Exploiting large scale astronomical surveys to find unusual objects
  • Pro-am collaboration in astronomy
  • Machine learning for big data

For a list of papers I've contributed to, see this ADS library.

GOTO transient discoveries


Teaching and Outreach:

I have been a problems class tutor for the first year modules PX145, PX148, and PX120 for the past 2 years.

I have a lot of experience with science communication and I am always keen to give outreach talks to schools and astronomy societies, on a variety of topics -- previously I've done talks on the solar system, exoplanets, asteroids, and astrophotography. Please contact me via email for more information!


Picture of Thomas Killestein (2019)

Write to:

Thomas Killestein,
Department of Physics,
University of Warwick,
Coventry CV4 7AL
UK
 

Contact details:

Email: t.killestein <at> warwick.ac.uk