Dr Andrey Kormilitzin

BSc, MSc, PhD

Status

Affiliate Researcher

Research groups

Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG

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)

Further details

2012 PhD in Physics, Tel Aviv University

Thesis: "Forward physics at the LHC energies"

Supervisor: Prof. Eugene Levin

Prizes, awards, and scholarships

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

Major / recent publications

Publications and working papers

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

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