Group Leader

Diana Fusco, PhD

  • University Lecturer, Dept. of Physics, University of Cambridge

  • Postdoctoral Researcher, University of California-Berkeley (2014-2018)

  • PhD in Computational Biology and Bioinformatics, Duke University (2014)

  • MSc in Theoretical Physics, Universita' degli Studi di Milano (2008)

  • BSc in Physics, Universita' degli Studi di Milano (2006)

Diana's interest in biology started as a physics undergrad studying topological properties of the transcriptional network in budding yeast. After that, she was hooked and moved to soft matter and protein self-assembly for her PhD, under the supervision of Dr. Charbonneau at Duke. Unsatisfied with addressing questions exclusively on the computational side, she embarked onto a hybrid postdoc in Dr. Hallatschek lab at UC Berkeley, where she studied the evolutionary consequences of spatial range expansion combining microbiology and mathematical modeling.

Postdocs

Racha Majed

  • Postdoctoral researcher, University of Cambridge

  • PhD in Life Sciences and Health, Université Paris-Saclay (2017)

  • MSc in Food Chemistry, Université Saint-Joseph de Beyrouth (2013)

  • BSc in Biology and Biochemistry, Université Saint-Joseph de Beyrouth (2011)

My passion for Microbiology in general and Biofilms in particular began during my master’s project, studying the function and the localization of two genetics determinants involved in the recruitment of planktonic bacteria in preformed biofilm. Thereafter, I pursued working on biofilms for my PhD within the GME Team, MICALIS, INRA, France, under the supervision of Dr. Michel Gohar. I was interested in evaluating the role of the biofilm matrix components, specifically the polysaccharidic component, in the biofilm formation on biotic and abiotic surfaces, in the bacterium physiology and in the bacterial pathogenicity. Furthermore, I studied the spatio-temporal differentiation of the different bacterial subpopulations located in different specific areas of the biofilm, leading thus to phenotypic heterogeneity within a biofilm.

Graduate Students

  • PhD student in Physics, University of Cambridge

  • MPhys. Physics, University of Edinburgh (2018)

Broadly speaking, I am interested in the behaviour of bacteria and bacteriophage in explicitly spatial settings. Bacteria and phage commonly exist in natural environments with spatial structure, yet research into the influence of spatial settings on their behaviour is relatively scarce. In particular, I am interested in how spatial settings shape the evolution of phage and bacteria, and what insights this can provide about host-pathogen interactions in general.

Michael Hunter

Michael Hunter

Armin Eghdami

  • MSc. student in Physics, University of Cambridge

  • BSc. in Physics and Mathematics, Ludwig-Maximilians University (2018)
     

With my undergraduate education in both physics and mathematics, I’m interested in using insights from theoretical condensed matter physics as well as mathematical modeling to better understand biological processes. I am currently working on designing new models describing spatial growth processes and the statistical properties of their genealogies. Looking at this problem from a theoretical physicist’s point of view, I also want to make use of the known mapping between directed polymers and such growth models to further deepen our understanding of these spatial models.

Undergraduate Students

Sherry Jiatong Jiang

  • BA in Bioengineering (2016-2019) and MEng in Information and Computer Engineering (2019-2020), University of Cambridge

In my undergraduate education, I studied general engineering for 2 years before specializing in a combination of bioengineering and information engineering. I am interested in the application of computational modelling and mathematical methods in the study of complex systems in medicine and biology.

Tongfei Liu

  • Master of Physics (2017-2021), University of Oxford

I'm interested in the mathematical modelling of stochastic systems, and the computer simulations associated with it. Currently I'm trying to implement a model which simulates the diffusion of phage.
 

University of Cambridge

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