Computational Cell Biophysics MRes

About the course

Interdisciplinary approaches to scientific research are increasingly the main drivers of scientific discovery, new technologies and research funding.

For the best possible start to your biological science research career, we’ve designed a research master’s that draws on world-leading UCL expertise in physics, chemistry, mathematics and computing to accelerate cell biology research.

Learning practical computational skills in image analysis, machine learning and data analysis means you’ll develop the abilities necessary to work in fast-paced, rapidly evolving research environments.

You’ll also get the opportunity to contribute to the world-leading research work right here at UCL, and you’ll be co-supervised by both a physical and a biological scientist as you design and implement a nine-month lab-based research project.  

Visit our prospectus page to find out more:

Meet the programme lead

Professor Yanlan Mao 

Professor Yanlan Mao’s research explores how mechanical forces influence tissue growth, homeostasis and repair, using a combination of experimental and computational approaches. She is a Professor of Developmental Biophysics at the Research Department of the Laboratory for Molecular Cell Biology at UCL, and the Deputy Director for the Institute of Physics of Living Systems at UCL.

Learn more about Prof Yanlan Mao. 

Programme tutor

Professor Julie Pitcher 

Prof Julie Pitcher's research interests focus around the function and regulation of G protein-coupled receptors. She is currently a Professor (Teaching) within the Research Department of the Laboratory for Molecular Cell Biology at UCL and is the programme tutor for several PGT/PGR programmes.

Learn more about Prof Julie Pitcher.  

Course structure and overview

Find our more about the course structure, compulsory and optional modules, and see examples of research projects.