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
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Major / recent publications
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
Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models
Lorge, I Joyce, D Taylor, N Nevado-Holgado, A Cipriani, A Kormilitzin, A Computers in Biology and Medicine volume 194 110246 (10 Aug 2025) Harnessing digital health data for suicide prevention and care: A rapid review
Bennett-Poynter, L Kundurthi, S Besa, R Joyce, D Kormilitzin, A Shen, N Sunwoo, J Szkudlarek, P Sequiera, L Sikstrom, L Digital Health volume 11 (23 Feb 2025) Changes in iPSC-Astrocyte morphology reflect Alzheimer’s disease patient clinical markers
Rowland, H Miller, G Liu, Q Li, S Sharp, N Ng, B Wei, T Arunasalam, K Koychev, I Hedegaard, A Ribe, E Chan, D Chessell, T Kocagoncu, E Lawson, J Malhotra, P Ridha, B Rowe, J Thomas, A Zamboni, G Zetterberg, H Cader, M Wade-Martins, R Lovestone, S Nevado-Holgado, A Kormilitzin, A Buckley, N Stem Cells sxae085 (20 Dec 2024) Model development for bespoke large language models for digital triage assistance in mental health care
Taylor, N Kormilitzin, A Lorge, I Nevado-Holgado, A Cipriani, A Joyce, D Artificial Intelligence in Medicine volume 157 102988 (29 Nov 2024) Efficiency at scale: investigating the performance of diminutive language models in clinical tasks
Taylor, N Ghose, U Rohanian, O Nouriborji, M Kormilitzin, A Clifton, D Nevado-Holgado, A Artificial Intelligence in Medicine volume 157 (23 Oct 2024) 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