Andrey Kormilitzin

I am a senior researcher at the Department of Psychiatry, Translational Neuroscience group and a member of the Mathematical Institute, Data Science and Stochastic Analysis group, both at the University of Oxford. 

I have developed an interdisciplinary research programme around statistical machine learning, natural language processing, human-computer interaction, and the mathematics of multidimensional data streams specifically, systems that evolve over time under the influence of random processes.  Broadly, my interests are focused on clinical healthcare applications and on the translation of advanced computational methods to challenges in learning from large, real-world biomedical data and the development of tools with direct relevance to clinical outcomes for patients and practicing healthcare clinicians. 

Through deep collaboration with clinicians, healthcare professionals and with patient input, I develop new and exploit already available methods to learn from structured (e.g. physiological time-series) and unstructured (e.g. free-text clinical notes, images) electronic health records and biomedical data. However, benefits of technological advances to patients and clinicians may be missed if the ethical challenges posed by the adoption of artificial intelligence in the healthcare system are not considered and addressed systematically. I am exploring the ethical implications of algorithms on clinical decision support tools and means to mitigate data and technology-induced biases.

I strongly support Open Science and Outreach. I am committed to sharing software and data, where possible, for reproducibility and benefit to a wider research community. I am also a member of the Patient and Public Involvement network of the Oxford Health Biomedical Research Centre and work closely with patients and lay members of the public to co-design research questions and better understand the impact of new technologies and induced disparities on patients and their families. I organise workshops and datathons on machine learning for biomedical data, such as the Oxford-Turing Workshop on Deep and Frequent Phenotyping in Neurodegeneration and Natural Language Processing for UK-CRIS medical records. 

In addition to research, I:

• act as a Programme Chair for the NeurIPS 2022 workshop on "A participatory approach to AI in Mental Health" and was and Programme Committee for HealTAC 2022 - the 5th Healthcare Text Analytics Conference

• lead the AI workstream for the CHRONOSIG programme on AI-augmented triage in mental health funded by the NIHR AI Award

• co-lead the Applied Models and Digital Health working group of the Deep Dementia Phenotyping Network

• organise and host termly Artificial Intelligence for Mental Health Seminar Series at the Department of Psychiatry, Oxford

• teach courses at the Mathematical Institute, supervise students at all levels and postdoctoral researchers

• and supervise research students at all levels.

Before moving to Oxford, I held Minerva Fellowship at the II. Institute for Theoretical Physics of the Universität Hamburg, in Germany to support my research in theoretical high energy particle physics at the Large Hardron Collider (CERN) and mathematics of scattering amplitude in supersymmetric quantum field theories.

You are welcome to contact me on:  firstname .  lastname [ at] psych . ox. ac .uk