Caius Science Network:
Connecting research interests across the college

The aim of this network is to enhance scientific discussions and collaborations in Gonville & Caius college. One of the advantages of being in a college is the interaction with many leading experts across a range of disciplines. Scientists in different fields often study similar problems, but this is done with different approaches and in different departments. As a result, many potential overlaps of interests remain unexplored due to lack of exposure. This network aims to bring to light intra-Caius common interests in the hope that this will generate further fertilising scientific discussions and interactions.

The main activity of the CSN is a termly meeting, planned to take place at the end of every term, in which interested members of the college will make short presentations of a research problem on which they seek discussions, insight and / or collaboration. A research problem can constitute anything from a solution to a stubborn equation to a search for complementary skills for a joint proposal collaboration.

It is expected that not everyone would be able to attend the meetings or make presentations. To make this less of a problem, this page will list the topics presented in the meetings, with a copy of the presentation, when available. This page is also intended to help with research issues that cannot be presented orally for any reason. To make your topic of interest visible, please send me: (i) a title; (ii) a 3-4 paragraphs description of the problem; (iii) the objective, e.g., help with a solution, insight into modelling a problem, discussions, collaboration, etc. It would be best if these are comprehensible to others outside your field. Meeting presentations in pdf format will be linked, if available.


  • Meeting 1: (June 21, 2017, Caius college Senior Parlour, 20:30)

    Tim Pedley: "A new squirmer model for swimming micro-organisms?"

    Anthony Edwards: "How many n-set simple Venn diagrams are there?"

    Gareth Conduit: "Future applications of machine learning"

    Rafi Blumenfeld: "Can we use a recent quantitative structural characterisation of disordered foams for early detection of metastasis risk?"
    I have developed in recent years a method to describe quantitatively local structures of disordered granular, cellular and porous media. The method works both for 2D and 3D structures and it turns out to be sensitive to subtle differences in structural characteristics, which are difficult to capture by eye.
    I would like to explore application of the method to detect precursors to metastasis, based on the hypothesis that, prior to metastasis, tissues undergo structural changes. Specifically, the idea is to compare normal and pre-metastasis tissues for significant differences, which can be used as a warning sign.
    My aim here is to interest someone, or more than one person, with access to good resolution images of such tissues. The scale of the project may vary from a small test of the hypothesis on a specific type of quasi 2D tissue to a PhD, or larger, project. Positive results could be considered as a basis for a funding proposal.

  • Meeting 2: (TBD)

    Joe Herbert: "Gender is in the brain. Or is it?"
    Transgender is very much in the news. It questions the traditional definitions of binary two genders. Gender has social, psychological, legal and medical implications. It also poses a challenge for neuroscience: how much do we know about how gender is determined? What are the roles of genes, hormones or the environment? Are there patterns in the brain that might represent gender? And what is the relation in the brain between gender and sexuality?

Administrator: Rafi Blumenfeld,

Gonville & Caius College, Trinity Street, Cambridge CB2 1TA, UK

email address