Born: 8th February 1992, London, UK
Nationality: British citizen
Languages: English, French
For my Master's thesis, I will be working with Sophie Deneve, looking at the balance between excitation and inhibition in spiking neural networks, and the oscillatory effects of delayed inhibitory responses, with a view to understanding how these properties affect the statistics of the neural code, and whether it is possible to explain oscillatory effects observed in cortex and behaviour with respect to attention and schizophrenia.
Department of Physics, University of Gothenburg
During the Google Summers of Code 2013 and 2014, under the aegis of the Institute for Analysis and Scientific Computing at TU Wien, I proposed, designed and developed PyViennaCL, the Python-language bindings for the open source ViennaCL library for high-performance GPGPU linear algebra and scientific computing, which is written in OpenCL, CUDA and C++. This involved designing a language-agnostic abstract representation for algebraic expressions, which is then passed to a kernel generator and scheduler, thereby enabling scientific code written in Python seamlessly to produce very high performance on a variety of computing architectures, from single-core machines to large heterogeneous systems. I also wrote substantial documentation and a test suite to guarantee correctness.
During the Google Summer of Code 2015, I worked with the "software for experiments" group at CERN on
cppyy uses the new
cling C++ interpreter (built on top of clang and LLVM) in order to provide JIT-compiled runtime access to arbitrary C++ code from Python. My work aims to simplify the API, and provide new features for the manual tuning of the generated Python interface. Ultimately, this project will greatly improve the writing of high-performance scientific code in Python, by eliminating the cumbersome work of writing bindings for C++ code, and thereby allowing developers to drop easily into C++ for performance-sensitive routines.