Multiview Fisher Discriminant Analysis
Workshop Talk at NIPS Workshop on Learning from Multiple Sources, Whistler, Canada
Curriculum Vitae
Affiliations
- Fellow of the Royal Statistical Society
- IEEE Signal Processing Society
Education
- BSc Hons. Experimental Psychology, University of Bristol
- MSc (Distinction). Intelligent Systems, University College London
- PhD. Machine Learning applied to multivariate signal processing, University College London
Work experience
- (2023-present) Head of the Centre for Artificial Intelligence (Executive Director), AstraZeneca UK
- (2020-2023) Applied Science Manager, Amazon Seattle
- (2017-2020) Applied Science Manager, Amazon Cambridge (UK)
- (2017-present) Honorary Research Fellow, Department of Electrical and Electronic Engineering, University of Bristol
- (2014-2016) Research Fellow, Department of Electrical and Electronic Engineering, University of Bristol
- (2013-2014) Researcher, Machine Learning and Perception Group, Microsoft Research Cambridge
- (2012-2013) Machine Learning Consultant, British Medical Journal Group, London
- (2011-2012) PDRA, Department of Statistical Science, University College London
- (2010-2011) PDRA, Department of Computer Science, University College London
- (2000-2005) Senior Software Engineer, Centre for Human Sciences, QinetiQ
Publications
See my Google Scholar profile
Talks
Kernel Based Methods
Invited Talk at 6th International Summer School on Pattern Recognition, Plymouth, UK
Medical Text Mining
Invited Talk at 2nd Workshop on Applications of Pattern Analysis (WAPA), Castro Urdiales, Spain
Data fusion and mining in SPHERE
Invited talk at South West Data Meetup, Pervasive Media Studio, The Watershed, Bristol
Activity Recognition from Accelerometers in Smart Homes
Invited talk at Bristol Robotics Lab, Bristol, UK
Towards »Zero Touch« Continual Machine Learning
Invited talk, Colloquium of the Institute of Cognitive Science at Institute of Cognitive Science, Osnabrück, Germany
Continual Learning in Practice
Invited talk, NeurIPS meetup at MathWorks, Cambridge, UK
Practical Considerations for Interactive AI: Robustness, Privacy, Fairness, Transparency
Invited talk, Interactive AI CDT Winter School at University of Bristol, Bristol, UK
Preserving Privacy and Utility in Text Data Analysis
Keynote at Private NLP Workshop, WSDM 2020, Houston, Texas
Practical Considerations for Continual Learning
Invited talk, Continual AI Meetup at Virtual, Everywhere
Machine Learning for Protein Design: Antibodies and Biologics
Invited Talk at ECML-PKDD 2023, Turin, Italy
Artificial Intelligence and Machine Learning Across the Entire Drug Development Pipeline
Invited Talk at NeurIPS EXPO 2023, New Orleans, USA
Machine Learning Applications in Drug Development
Invited Talk at ELLIS Manchester Summer School on Machine Learning for Healthcare and Biology, Manchester, UK
Innovations in Digital Health: Exploring Advanced Biomarkers and AI Technologies
Invited Talk at Bristol LEAP Digital Health Seminar Series 2025, Bristol, UK
Machine Learning and AI for Advancing Science in Drug Discovery and Development
Invited Talk at ELLIS Summer School on Machine Learning for Healthcare and Biology, Manchester, UK
From ML to AI in Biopharma R&D
Invited Talk at UCL AI Centre Seminar Series, London, UK
Teaching
Workshop Organisation
- ECML-PKDD 2016 Discovery Challenge Workshop: Activity Recognition challenge
- Workshop on Applications of Pattern Analysis (WAPA 2011), Castro Urdiales, Spain. 19 - 21 October 2011, CIEM, Castro Urdiales, Spain
- Workshop on Applications of Pattern Analysis (WAPA 2010), Windsor, UK. 1-2 September 2010, Windsor, UK
- NIPS 2008 Workshop “Learning from Multiple Sources”, Vancouver, Canada. 7-8 December 2008, Vancouver, Canada.
- CSML 2007 Workshop “Entente Cordiale”, London, UK. 21 May 2007, London, UK
Academic Duties
Referee for Funding Councils: Engineering and Physical Sciences Research Council (EPSRC), UK; Czech Science Foundation; Israel Science Foundation; Singapore National Research Foundation
Referee for Journals: Journal of Machine Learning Research (JMLR) · Machine Learning Journal (MLJ) · Neural Networks · Psychological Review · Pattern Analysis and Applications (PAA) · Neural Computing and Applications · IEEE Transactions on Neural Networks and Learning Systems (TLNNS) · IEEE Signal Processing · IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) · Transactions on Image Processing · EURASIP Journal on Advances in Signal Processing · Signal Image and Video Processing · Pattern Recognition Letters · Elsevier Signal Processing (SIGPRO) · MDPI Sensors
Referee for Conferences Neural Information Processing Systems (NeurIPS) · Artificial Intelligence and Statistics (AISTATS) · European Conference of Machine Learning (ECML-PKDD) · Knowledge Discovery in Databases (KDD) · International Conference on Neural Information Processing (ICONIP) · International Conference on Learning Representations (ICLR) · International Joint Conference on Artificial Intelligence (IJCAI) · Uncertainty in Artificial Intelligence (UAI) · International Workshop on Machine learning, Optimization and big Data (MOD)
Professional Training and Awards
- 03/2019: Certified for Human Research (Data or Specimens Only Research) by the Collaborative Institution Training Initiative
- 11/2016: An introduction to Open Research (University of Bristol training)
- 10/2016: Personal Tutoring (University of Bristol training)
- 06/2016: Lecturing (University of Bristol training)
- 06/2016: Teaching (University of Bristol training)
- 01/2015: National Institute for Health Research (NIHR) Good Clinical Practice (GCP)
- 11/2006: Award for best project for the MSc Intelligent Systems 2005-2006
- 02/2004: QinetiQ Future Systems Technology (FST) division “Star Award” for outstanding achievement