Mohamed Ali al-Badri

I am a Research Fellow in statistical systems biology at UCL in London, and a Genomics Research Scientist at Phase Genomics in Seattle, Washington.

Currently, I am working on deep learning research in the area of cancer genomics. I am particularly interested in the design of neural networks to uncover mutational processes from structural variation in the cancer genome, using copy number variation or chromosome conformation capture data.

I come from a theoretical physics background; my PhD was based on method development of Molecular Dynamics simulations and electronic structure theory calculations such as Density Functional Theory and Dynamical Mean Field Theory. I completed my PhD with the London Interdisciplinary Doctoral Programme (LIDo) at King’s College London, within the Theory & Simulation of Condensed Matter (TSCM) and Biological Physics & Soft Matter (BPSM) groups.

I was previously an intern with The Alan Turing Institute, where I was part of the Uncertainty Quantification of Multi-scale and Multi-physics computer Models (UQM3) project within the Hut 23 Research Engineering team.

I have an undergraduate degree in physics with theoretical physics from King’s College London.