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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

ST343 Topics in Data Science (Topic: Reinforcement Learning)


CS342 Machine Learning

ST343 Topics in Data Science (Topic: Reinforcement Learning)


CS342 Machine Learning

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


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"