Computer Laboratory

Yoli Shavit

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I am a PhD student in the Artificial Intelligence (AI) Group, supervised by Dr Pietro Lio', and a Cambridge Trust Scholar, as part of the Cambridge International Scholarship Scheme (CISS). I come from an interdisciplinary background, with a BSc in Computer Science and Life Science (Tel Aviv University, Israel), MSc in Bioinformatics and Theoretical Systems Biology (Imperial College London, UK) and 2 years of work experience as a software engineer. Originally starting in medicine school, I have decided to change and study Computer Science and Life Science instead, allowing me to develop computational methods and tools (which I enjoy doing) for biologically and medically driven research (my motivation).

I am currently working on computational modelling of the nuclear architecture and on the relationship between the 3D organization of the genome and key biological processes. I aim to develop new methods that will help in linking disease and ageing processes with the nuclear architecture, for diagnostic and treatment purposes.

In addition to my research, I am also interested in promoting women leadership and engagement in computer science and entrepreneurship. I am a committee member of women@CL and have also recently particpated in an i-teams project (Michaelmas 2013), providing hands-on experience in commercializing scientific inventions.


  • Y. Shavit, F.K. Hamey and P. Lio'. FisHiCal: an R package for iterative FISH-based calibration of Hi-C data. Bioinformatics, 2014.

  • F.K. Hamey, C. Town, Y. Shavit and P. Lio'. A method for automated detection of fluorescent probes in FISH images. CIBB 2014.

  • Y. Shavit and P. Lio'. Combining a wavelet change point and the Bayes factor for analysing chromosomal interaction data. Molecular BioSystems, 2014.

  • Y. Shavit and P. Lio'. CytoHiC: A Cytoscape Plugin For Visual Comparison Of Hi-C Networks. Bioinformatics, 2013.

  • E. Mashiach, D. Schneidman-Duhovny, A. Peri, Y. Shavit, R. Nussinov and H.J. Wolfson. An integrated suite of fast docking algorithms. Proteins, 2010.


Talks & Posters

  • Y. Shavit, A spatial problem in genomics, CIBB 2014.

  • Y. Shavit and P. Lio'. Integrating multiple omics using change point statistics, Inference for Change-Point and Related Processes, Isaac Newton Institute for Mathematical Sciences (Cambridge, UK), January 13 - 17, 2014.

  • Y. Shavit and P. Lio'. Applications of Hi-C data to Cytogenetics. Single Cell Genomics, Weizmann institute of science (Israel), October 1–3, 2013.

  • Y. Shavit and P. Lio'. Computational Modelling Of Nuclear Architecture. PhD Summer School, Microsoft Research (Cambridge, UK), July 1-5, 2013.

  • Y. Shavit. Multi-Dimensional Data Integration: Going Beyond The 2D Genome. Women@CL Mini-Conference, University of Cambridge, April 23, 2013.


  • Bioinformatics, part II, Michaelmas term 2013, Computer Laboratory.

  • Bioinformatics, part II, Michaelmas term 2012, Computer Laboratory.

Artificial Intelligence Group
Computer Laboratory
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD