I am working as a data scientist and software engineer in the field of neuroinformatics. I am currently developing a software to process and visualize large amounts of electrophysiological data coming from new generations of high-density multielectrode arrays (in vivo extracellular recordings). This open source software suite developed in our lab at University College London is currently used in tens of international research laboratories worldwide.
After studying Mathematics and Computer Science at École Normale Supérieure (ENS), Paris, I did a Master of Research in Computer Science, two research internships at Collège de France and Princeton University, and a PhD in Computational Neuroscience at ENS. I am now a research associate at University College London.
- Scientific Python programming (NumPy, IPython, matplotlib…)
- High-Performance Numerical Computing, Parallel and Distributed Computing, Graphics Card Programming (GPGPU with CUDA and OpenCL)
- Data Science (probabilistic modeling, statistics, machine learning)
- Signal Processing, Dynamical Systems, Neural Networks
- Data Visualization (GPU, OpenGL, WebGL)
- Peer-reviewed articles in international scientific journals
- Talks, posters, tutorials, coding sprints at international conferences
- Two books on Scientific Computing with Python (IPython minibook and IPython cookbook)
- Vispy, a new high-performance big data visualization library (successor of Galry)
- KlustaSuite, an open source software suite for semi-automatic spike sorting