I am a Wellcome Trust DPhil student from the Medical Sciences Doctoral Training Centre (MSDTC) and I completed my first rotation in the Davis Lab in 2017.  I am a member of Keble College and of the International Society for Computational Biology (ISCB).

Current Project: 

Machine learning (ML) approaches have been increasingly used for pattern recognition and image analysis in numerous fields. I am currently working on applying ML algorithms to automate the analysis of single-molecule fluorescence hybridisation (smFISH) data. smFISH is a very powerful technique to detect individual RNA molecules using an array of fluorescently labeled oligonucleotide probes, I seek to develop a method which qualitatively and quantitatively analyses their physical distribution.

Previous Work: 

Prior to my DPhil I completed my MSc in the Department of Oncology at the University of Oxford. I combined my passion for programming and medicine in a master's thesis supervised by Prof. Francesca Buffa, modelling gene networks involved in cancer progression. I developed a computational tool to automate the simulation of deposited models from online databases, and presented my work at the 25th International Society for Computational Biology (ISCB) conference in Prague (ISMB/ECCB 2017). I graduated with first-class honours from University of Toronto in 2016.

Clara Pavillet

Contact Details

Tel: 01865 613271



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Biochemistry Dept.
University of  Oxford,
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Oxford, â€‹OX1 3QU