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I am currently a Data Scientist at the global pharmaceutical Roche, specifically on leveraging artificial intelligence in antibody design. My day-to-day work is comprised of two parts: technology advances and portfolio project advisory. Through testing and developing cutting-edge machine learning algorithms on internal datasets, I enable the democratisation of complex AI models through knowledge and tool sharing. Embedded in portfolio projects, I support the screening library design, binder generation and optimisation campaigns through computational evaluation of sequence and structure liabilities.

I studied my PhD at the Systems Approaches to Biomedical Sciences Centre for Doctoral Training, University of Oxford, focusing on antibody-antigen interface modelling. During the time, I undertook a placement with UCB Pharma, applying chemoinformatics on small molecule drug discovery projects.

Prior to the start of my research project, I attended interdisciplinary courses to equip us with technical skills and knowledge necessary to carry out our research at the interface between theoretical and experimental biology. I completed the two 3-month rotation projects: first at the Computational Biology Group at Oxford in collaboration with the Cardiac Electromechanics Research Group at King’s College London, and next at the Oxford Protein Informatics Group

Before coming to Oxford, I graduated from the University of Sheffield, with a First Class Honours degree in Bioengineering. Over the period of studies, I was awarded the Mappin Medal and Premium in Bioengineering and the Sheffield Graduate Award in recognition of my academic and extra-curricular achievements. With an interest in computational modelling and exploiting the expertise in biomechanics at Sheffield, I worked on a number of research projects: first at the Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) modelling brain vasculature, next at Insigneo Institute of in silico Medicine on in vitro bone tissue engineering with bioreactor, and finally at the Theoretical Mechanobiology Group modelling the evolution of intracranial aneurysm. Traversing between experimental research and computational modelling techniques, I found myself well positioned for the research at this interface, with the understanding of experimentally driven approaches and a strong numerical background to formulate models.

Aside from academic work, I am a fairly quiet person, usually indulging myself in guitar playing, punk-rock music, watercolour painting. When opportunities arise, I participate in short filming projects – I produced two short videos for promoting the University of Sheffield as an International Engineering Ambassador. At Oxford, I was a project member at the Engineers Without Borders, participating in the Decoding Programming project. I am also a part of Research Careers Beyond Academia, an initiative to inspire and support researchers’ transition from academia to the industry, in collaboration with the Careers Service. My biggest achievement to-date comes from leading a women in STEM campaign, through the Oxford Females in Engineering, Science and Technology society, providing networking and upskilling events, conferences and mentoring to encourage diversity in STEM.