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Andrey

Dr Andrey Kormilitzin

BSc, MSc, PhD
Status
Affiliate Researcher
+44 1865 615202
Contact form
Research groups
  • Machine Learning and Data Science
  • Stochastic Analysis
Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Major / recent publications

Publications and working papers

Further details

2012 PhD in Physics, Tel Aviv University

Thesis: "Forward physics at the LHC energies"

Supervisor: Prof. Eugene Levin

 

Prizes, awards, and scholarships
  • 2023 The NIHR Applied Research Collaboration 
  • 2021 The Oxford-GlaxoSmithKline Functional Genomics programme
  • 2021 The National Institute for Health and Care AI Award
  • 2018 Alzheimer’s Research UK Network Centre Grant
  • 2012 - 2014 Minerva Fellowship, Max Planck Society
  • 2011 - 2012 Visiting Fellow, Ben-Gurion University
  • 2006 - 2008 Salim and Rachel Benin Foundation, Award
Recent publications
Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model.
Liu, Q Vaci, N Koychev, I Kormilitzin, A Li, Z Cipriani, A Nevado-Holgado, A BMC medicine volume 20 issue 1 45- (February 2022)
Validation of UK Biobank data for mental health outcomes: a pilot study using secondary care electronic health records
Li, Z Kormilitzin, A Fernandes, M Vaci, N Liu, Q Newby, D Goodday, S Smith, T Nevado-Holgado, A Winchester, L International Journal of Medical Informatics 104704-104704 (24 January 2022)
Rationale production to support clinical decision-making
Taylor, N Sha, L Joyce, D Lukasiewicz, T Nevado-Holgado, A Kormilitzin, A (15 November 2021) http://arxiv.org/abs/2111.07611v1
Associations between brain volumes and cognitive tests with hypertensive burden in UK Biobank
Newby, D Winchester, L Sproviero, W Fernandes, M Wang, D Kormilitzin, A Launer, L Nevado-Holgado, A Journal of Alzheimer's Disease volume 84 issue 3 1373-1389 (19 October 2021)
Effect of trazodone on cognitive decline in people with dementia: Cohort study using UK routinely collected data.
Sommerlad, A Werbeloff, N Perera, G Smith, T Costello, H Mueller, C Kormilitzin, A Broadbent, M Nevado-Holgado, A Lovestone, S Stewart, R Livingston, G International journal of geriatric psychiatry volume 37 issue 1 (25 September 2021)
Research interests
  • Statistical machine learning and deep learning
  • Bioinformatics and applications of ML/DL to healthcare
  • Stochastic analysis, sequential data, signatures
  • Particle Physics, quantum field theory, scattering amplitudes
Teaching
  • HT22 - B7.3 Further Quantum Theory
  • HT21 - B7.3 Further Quantum Theory
  • HT20 - B7.3 Further Quantum Theory
  • HT19 - B7.3 Further Quantum Theory
  • HT18 - B7.3 Further Quantum Theory
  • MT17 - C5.5 Perturbation Methods
  • HT17 - B7.3 Further Quantum Theory 
  • MT16 - C6.3 Approximation of Functions  
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London Mathematical Society Good Practice Scheme Athena SWAN Silver Award (ECU Gender Charter) Stonewall Silver Employer 2022

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