MrGeorge Papadopoulos
Research Postgraduate
Department of Computing - Faculty of Engineering
Orcid identifier0009-0009-9732-3423 (opens in a new tab)
- Research PostgraduateDepartment of Computing - Faculty of Engineering
- Huxley Building, South Kensington Campus, United Kingdom
BIO
PhD candidate with the AI4Health programme. Deep learning and non probabilistic methods for hyperplexed biosensor diagnostics. Supervisors are Mauricio Barahona and Molly Stevens.
Previous studies and work experience include, postgraduate degree from UCL, Computational Statistics and Machine Learning and in JPMorgan as a senior ML researcher for the AI Lab under Marco Pistoia.
Research interests include, non-parametric modelling, Gaussian processes, time-series models, reinforcement learning, dimensionality reduction models.
Previous studies and work experience include, postgraduate degree from UCL, Computational Statistics and Machine Learning and in JPMorgan as a senior ML researcher for the AI Lab under Marco Pistoia.
Research interests include, non-parametric modelling, Gaussian processes, time-series models, reinforcement learning, dimensionality reduction models.
DEGREES
- PostgraduateUniversity College London, London, United Kingdom3 Oct 2016 - 30 Jun 2017
LANGUAGES
- Greek, Modern (1453-)Can read, write, speak, understand and peer review
- EnglishCan read, write, speak, understand and peer review
- ItalianCan read, speak and understand
FACULTY
- Faculty of Engineering
POSITION NAME
- Research Postgraduate