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Dr Theo Damoulas

I am an Associate Professor in Data Science with a joint appointment in Computer Science and Statistics. 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).

Projects

Clean Air project, Turing - Lloyds Register Foundation programme on Data Centric Engineering. [10/2017 - Present]

Spatiotemporal Inference for Urban Processes, SPINUP, The Alan Turing Institute. [09/2018]

Probabilistic Deep Learning for EV battery life-time prediction, Innovate UK, HVM Catapult, WMG. [10/2018]

Publications

(in chronological order)

Teaching

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

Post-docs

3 positions from end of 2018:

PDRA position based at the Alan Turing Institute #1

PDRA position based at the Alan Turing Institute #2

PDRA position based at the University of Warwick (joint appointment in Stats and CS)

Administration

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

  • Turing Reproducible Research Award, 2018
  • 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

  • Assistant Professor, Computer Science & Statistics, University of Warwick, 2015-2018
  • Research Assistant Professor, CUSP, New York University, 2013-2015
  • PDRA & Research Associate, Computer Science, Cornell University, 2009-2013

PC (Senior) member:

AAAI, IJCAI, ICPR, ICANN

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"

Academic Bio:

Theo Damoulas joined the University of Warwick in 2015 from New York University where he was an Assistant Professor of Research (2013-2015). Before that he was a Research Associate in the department of Computer Science at Cornell University working with Prof. Carla P. Gomes, Prof. Bart Selman, Dr. Daniel Fink and the CLO eBird team headed by Steve Kelling (2009-2013). He finished his PhD thesis titled Probabilistic Multiple Kernel Learning in 2009 under the supervision of Prof. Mark A. Girolami at the School of Computing Science, University of Glasgow. He holds an MSc in Informatics (Distinction) from the University of Edinburgh (2003-2004) and an MEng in Engineering (1st Class) from the University of Manchester (1999-2003).

 

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


Voice:
02476 150846

Email:
T . Damoulas at warwick . ac . uk