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Dr Theo Damoulas

I am an Assistant Professor in Data Science with a joint appointment in Statistics and Computer Science. My research interests are in machine learning and Bayesian statistics with a focus on spatio-temporal problems in urban science and computational sustainability.

I am a Turing Fellow of the Alan Turing Institute and affiliated with NYU as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP).


Clean Air project, Turing - Lloyds Register Foundation programme on Data Centric Engineering.


(in chronological order)


CS342 Machine Learning (2016-2018)

ST343 Topics in Data Science [Topic: Reinforcement Learning] (2017-2018)

PhD Students

Karla Monterrubio Gomez (2016-2019, 2nd supervisor, with Mark A. Girolami)

Joe Meagher (2016-2019, 2nd supervisor, with Mark A. Girolami)

Virginia Aglietti (2017-2020, 1st supervisor, with David Firth)

Jeremias Knoblauch (2017-2020, 1st supervisor, with Chenlei Leng)

Research Assistants

Oliver Hamelijnck

Patrick O'Hara


2 positions from end of 2018:

PDRA position based at the Alan Turing Institute


Course co-director (with Adam Johansen) of BSc Data Science degree

Senior Exam secretary (CS)

Office Hours

Monday & Friday 16:00-17:00

PhD Supervision

I am interested in supervising highly motivated PhD students with a strong quantitative background in computational statistics and machine learning. Get in touch with me and apply directly via OxWaSP and/or WISC Doctoral Training Centers and/or The Alan Turing Institute. Some areas of interest are i) probabilistic spatio-temporal inference and algorithms, ii) learning and inference in dynamic systems and changing (non-stationary) environments iii) scalable approximate inference and learning algorithms.

MSc/MEng Supervision

Every year I will be proposing master's thesis projects at both Statistics and Computer Science departments. Contact me with your CV if interested in these. If you have a well defined project of your own that is close to my interests and would like me to supervise your thesis feel free to contact me with your CV and a project description.

Selected Awards

  • ACM SIGMOD Most Reproducible Paper Award, 2017
  • Warwick Awards for Teaching Excellence (nominated) 2015-2016, 2016-2017
  • NYU CUSP Teaching and Mentoring award 2014
  • The Classification Society Distinguished Dissertation Award, Carnegie Mellon University, 2012
  • Best Paper for Deployed Application Award, AAAI IAAI, 2012
  • EMC2 Big Data Award, Data Computing Division, Cornell University, 2011
  • Best Paper Award, IEEE ICMLA, 2010
  • NCR PhD Fellowship award (full funding), 2006 - 2009

Previous placements

  • Research Assistant Professor, CUSP, New York University, 2013-2015
  • PDRA & Research Associate, Computer Science, Cornell University, 2009-2013

PC (Senior) member:


Journal reviewing:

Neural Computation, Bioinformatics, IEEE Signal Processing, Pattern Recognition, IEEE SMC

Workshop organizer:

AAAI 2015 "AI for Cities"

NIPS 2013 "Machine Learning for Sustainability"

NIPS 2012 "Human Computation for Science and Computational Sustainability"



Dr Theo Damoulas
Room 307, Computer Science
University of Warwick
Coventry, CV4 7AL
United Kingdom

02476 150846

T . Damoulas at warwick . ac . uk