In the Sahakyan Group, we strive to make computational biology maximally independent from empirical experimental data, by basing our models and predictions on genomic sequences and core biological mechanisms.
The group uses a combination of deep learning, stochastic models and Bayesian modelling to study questions relating to stem cell fate dynamics and how mutations in stem cells alter their normal behaviour, become fixed and accumulate in the tissue eventually leading to cancer.
Dr H Koohy, Prof V Cerundolo, Prof T Dong, Prof A Simmons
26 July 2019
Cancer immunology is an area of cancer research that is gaining tremendous momentum. However, responses to immunotherapy are heterogeneous and patient care could be substantially improved by better understanding of how and why responses to immunotherapeutic approaches vary in different patients.
The Hughes group is interested in how mammalian genes are regulated and how their deregulation is linked with human disease. The ~22 thousand genes in the mammalian genome are present in the DNA of every cell but are used in complex patterns in different cell types and organs.
The Nano-Immunology group is based in the Human Immunology Unit at the MRC WIMM. The Group is headed by Prof Christian Eggeling, an expert in fluorescence microscopy and especially in the development and application of super-resolution fluorescence (STED) microscopy with a long-standing record in this field.