Sébastien Naze

Thesis "Multiscale Modeling of Epileptic Seizure Dynamics" under the supervision of Viktor Jirsa (theoretical physics) and Christophe Bernard (neurophysiology).

Expertise: dynamical systems theory, high performance computing, neuroscience.

Master degree with specialization in data engineering, business intelligence and machine learning. Master thesis "Agent modeling of post-traumatic stress disorders" under supervision of Professor Jan Treur.

Bachelor Degree with specialization in software engineering & databases.

Data engineering, analysis of multimodal dataset, and multiscale modeling of neurostimulation in obsessive-compulsive disorders.

- Design and implementation of an interface between brain modeling and machine learning algorithms in Python and C++.

- Parameter optimization using evolutionary algorithms. Integration of libraries into service architecture for cloud computing.

- Coordinated work accross four labs operating from multiple countries.

- Delivered IBM Solutions in brain modeling to clients (CHDI, Pfizer) investigating Huntington’s disease phenotypes in-silico.

- Delivered quarterly reports with client presentations and ThinkLab demonstrations at client’s events.

- Developed software patches for IBM Neural Graph Simulator.

- Co-lead IBM team on joint collaborative research projects with Stanford University Department of Medical Neuroscience and University Health Network, Toronto.