I have a long track record (+10 years) of using mathematics, computing and programming (github profile) to understand and bring meaning to real world problems. I have authored +40 scientific publications most of which develop numerical models to understand experimental results. I have published a book chapter on numerical modeling of semiconductors. My key asset is my very broad skill set, and ability to turn my mathematical/computing skills to any problem in a short space of time. In the past I have used my skills to solve a wide variety of problems including:
I am very good at Python, C, the GNU tool chain and Linux - see github profile. I enjoy using these tools to turn mathematics into efficient computer code/algorithms.
Experienced cluster/supercomputer user, I use these tools to fit highly non-linear custom models to complex data sets. I have written my own cluster management code
I enjoy being on the edge of understanding and solving problems which we don't yet know how to solve. I have a drive to learn and tenacity/determination.
For the last year I have been developing machine learning codes based on Neural Networks (Tensor flow/Keras).
Enjoy working in a team, and have experience managing projects/budgets.
I have good written/verbal communication skills and regularly give technical talks to large audiences of +300 people.
Short CV
2013-present: Lecturer, University of Nottingham, UK
2012: Post-Doc, University of Freiburg, Germany
2009-2011: Post-Doc, Imperial College London, UK
01/03/2008-01/07/2008: Post-Doc, University of Nottingham, UK
2004-2008: Ph.D, University of Nottingham, UK
2001-2002: Electronic Electronic Engineering, Meng (Year 4), University of Nottingham, UK
2003: Electronic Electronic Engineering, Meng (Year 3), TU Braunschweig, Germany
2001-2002: Electronic Electronic Engineering, Meng (Years 1-2), University of Nottingham, UK