Dr Daniel Stamate


Honorary Senior Lecturer, Machine Learning
Division of Population Health, Health Services Research & Primary Care
School of Health Sciences
University of Manchester
Email daniel.stamate AT manchester.ac.uk

Senior Lecturer – Associate Professor in Data Science
Computing Department
University of London – Goldsmiths College




Profile and activity

  • Overview

    Dr Stamate's background is in Computer Science and Mathematics. He got his PhD in the area of reasoning with data under uncertainty – part of the broader area of mathematical foundations of computer science and AI - soft computing, from University of Paris-Sud – currently Paris-Saclay University, which is the 1st research university in France, and which is ranked the 13th in the world overall, and 1st in the world for Mathematics by the 2021 Academic Ranking of World Universities (ARWU). Dr Stamate's current research is in the core Data Science areas of Machine Learning and Computational Statistics with applications in Health but also in Finance. He founded and leads the Data Science & Soft Computing Lab in London, which has strong links and collaborates with several universities (below) and also with industry. His lab’s team in London comprises 9 regular members including 3 academic staff, 1 postdoc KTP Associate and 5 PhDs; and 6 associated members as external collaborators. Dr Stamate currently supervises 5 PhD students as main supervisor. He and his team have collaborated closely with research teams from King's College London, University of Manchester, Oxford University, Imperial College London, UCL, Yale University, Maastricht University, and with EMIF-AD - the European Medical Information Framework - Alzheimer's Disease Consortium, which comprises several major research centres in Europe. He is mainly based in Computing Department at Goldsmiths, University of London, where he is a Senior Lecturer (Associate Professor) in Data Science, and is also an Honorary Senior Lecturer in the School of Health Sciences at the University of Manchester where he collaborates with Prof David Reeves' team on predicting risk of Dementia with Machine Learning using routine primary care records. In London, Dr Stamate initiated and led the developments of one of the first Data Science MSc in UK, at Goldsmiths College, University of London, and was a Programme Director since 2014.

  • Research awards

    Best Quality/Novelty Research Paper Award 2021 at the International Conference on Engineering Applications of Neural Networks

    Marie Curie Research Fellowship Award 2000

  • Research interests and collaborations

    Daniel Stamate's current research is in the broader areas of Data Science, Statistical Learning, AI – Machine Learning, Deep Learning, NLP, with particular interests in:

    • Predicting risk of dementia with AI and Statistical Learning using routine primary care records (CPRD) - in collaboration with the Division of Population Health, Health Services Research & Primary Care, School of Health Sciences at the University of Manchester – Prof David Reeves, Prof Darren Ashcroft, Prof Evan Kontopantelis

    • Machine and Statistical Learning in Computational Psychiatry – in collaboration with the Institute of Psychiatry at King’s College London – Prof Daniel Stahl, Prof Sir Robin Murray

    • Machine Learning approaches to diagnosing Alzheimer's type dementia and to biomarker discovery – in collaboration with King's College London, Oxford University, UCL and other centres in the EMIF-AD consortium – Dr Cristina Legido-Quigley, Prof Sir Simon Lovestone

    • Deep Learning and Generative Adversarial Network algorithms in collaboration with University of London, Birkbeck – Prof George Magoulas

    • NLP with applications in text mining and sentiment analysis, stock market forecasting, and in fraud detection – in collaborations with Santander, Cardiff

    • Machine Learning optimisations in colour industry, in collaboration with Sherwin-Williams company USA

    • He previously worked on other research problems involving Machine Learning in Health, including Prediction modelling to understand asthma heterogeneity - in collaboration with Imperial College London – Prof Adnan Custovic

    Research output is listed in publications.

  • Project lead:

    September 2020-September 2022, Lead Academic/ PI in CHROMA KTP grant researching into Machine Learning state of the art approaches to colour optimisation, co-funded by Innovate UK, partner company Sherwin-Williams, grant value £208,310. Goldsmiths, University of London team: Dr Daniel Stamate – Lead, Dr Asei Akanuma – KTP Associate.

    July 2018 – June 2022, Chief Co-Investigator / Lead at Goldsmiths, University of London: Predicting risk of dementia using routine primary care records (CPRD). ARUK grant £240,000 in collaboration with Prof David Reeves' team at University of Manchester. London share £110,000. Dr Stamate is leading on the Machine Learning aspects of this study funded by Alzheimer's Research UK covered on BBC News. London team: Dr Daniel Stamate – Lead, Collaborators: Prof Fionn Murtagh, John Langham, Mihai Ermaliuc - PhD candidates, Dr Charlotte Wu - Clinician.

    September 2017-September 2019, Project Lead: Data Science Research and Postgraduate Mobility. EU Erasmus+ funded, 54,000 Euro. Led by Goldsmiths, University of London, with partner institution National Research Tomsk State University.

    April 2014- April 2018, Project Lead: Prediction Modelling Approaches to Data-driven Computational Psychiatry. Funding body: Saudi Government, value £175,000+, supporting PhD work of Wajdi Alghamdi at Goldsmiths, University of London

    April 2000- March 2002, PI: Integrating imperfect information from multiple web sources, EU funded, 108,000 Euro Marie Curie Individual Grant, University of London.

  • Project participant:

    July 2019- July 2020, collaborator contributing in the Machine Learning developments of the research project: Automated measurement of responsive caregiving at scale using machine learning. Funded by Royal Academy of Engineering, PI Caspar Addyman, £20,000.

Current or recent roles

PhD supervision

Current students

  • Jiri Marek, part time PhD candidate in Computer Science, University of London - Goldsmiths. Working in Behavioural Finance and Machine Learning, started 2017 , 1st supervisor.

  • Mihai Ermaliuc, part time PhD candidate in Computer Science, University of London - Goldsmiths. Working on Generative Adversarial Networks and Deep Learning algorithms and their applications in Health for predicting risk of Dementia on CPRD, started 2018, 1st supervisor.

  • Mohamed Saber, part time PhD candidate in Computer Science, University of London - Goldsmiths. Working in Financial Fraud Detection with Machine Learning, started 2018, 1st supervisor.

  • John Langham, part time PhD candidate in Computer Science, University of London - Goldsmiths. Working on predicting risk of Dementia with Machine Learning using routine primary care records - CPRD, started 2020, 1st supervisor.

  • Henry Musto, part time PhD candidate in Computer Science, University of London - Goldsmiths. Working on predicting Dementia with Machine Learning and Statistical Learning approaches, started 2020, 1st supervisor.

Completed

  • Rapheal Olaniyan, PhD in Computer Science, thesis: Applied Natural Language Processing and Machine Learning in Algorithmic Trading, University of London - Goldsmiths, completed December 2021, 1st supervisor.

  • Wajdi Alghamdi, PhD in Computer Science, thesis: Predictive Modelling Approach to Data-driven Computational Psychiatry, University of London - Goldsmiths, completed June 2018, 1st supervisor.

  • Majed Alsanea, PhD in Computer Science, thesis: Factors Affecting the Adoption of Cloud Computing in Saudi Arabia’s Government Sector, University of London - Goldsmiths, completed 2015, 2nd supervisor (1st supervisor Dr Jenn Barth).

  • Yann Loyer, PhD in Computer Science, thesis (French): Hypotheses versus programmes logiques : une approche semantique de l'integration d'information en logique multi-valuee, University of Paris-Sud, France, completed 2001, co-advisor (1st supervisor Prof Nicolas Spyratos).

Current or recent teaching lead roles Goldsmiths, University of London

Programme initiator and director - Data Science MSc
Machine Learning (MSc and Bsc)
Data Science Research Topics (MSc)
Statistics and Statistical Data Mining (MSc)
Data Programming (MSc)
Machine Learning and Statistical Data Mining (MSc)
Data Mining (Bsc)
Final Project (MSc, BSc)