I am a Wellcome Trust DPhil student from the Medical Sciences Doctoral Training Centre (MSDTC) doing my first rotation in the Davis Lab.  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 was working in Professor Francesca Buffa's lab and developed a computational tool with the aim to automate the simulation of deposited biological models from pathway databases. I presented my work at the 25th International Society for Computational Biology (ISCB) conference in Prague (ISMB/ECCB 2017). 
Before moving to England I did an internship at the University of Buenos Aires (Faculty of Medicine) under the supervision of Jorge Geffner and Federico Remes Lenicov in the 'Instituto de Investigaciones Biomedicas en Retrovirus y Sida (INBIRS)'. I completed my BSc at the University of Toronto majoring in Biochemistry & Immunology. During my studies I was selected for the University of Toronto's Research Opportunity Program to conduct translational research in Pharmacology and Toxicology under the supervision of Bernard Le Foll. I then joined the Hospital for Sick Children's Research Institute, starting in the Cell Biology Program with Vito Mennella, to study the role of an uncharacterised human centrosomal protein. In my last year I moved to the Molecular Medicine Program where I studied the HIV-1 glycoprotein of a highly neutralisation resistant strain, under the supervision of Jean-Philippe Julien.

Clara Pavillet

Contact Details

Tel: 01865 613271