There are many things in life that will catch your eye, but only a few will catch your heart. Michael Nolan
Current and Past Positions
- Current Position: Quantitative Research at Marshall Wace
- 2013-2015: Head of Quantitative Research at 80 Capital LLP
- 2011-2013: Director at Citigroup
EMEA Equity Structuring: Hedge Fund Engineering and Institutional Structuration
- 2008-2011: Vice President at Sociéte Générale Corporate and Investment Banking
Global Equity Flow / Hedge Fund Engineering and Advisory
- 2006-2008: Researcher and Professor
- Professor at the Ecole des ponts in Paris (C++, Applied Maths & Computer Vision).
- Head of the VISAGE team (Learning, Vision, Algorithmic Geometry) at IMAGINE.
- Research Scientist in the WILLOW team at IMAGINE (previously CERTIS) and DI.
- 2002-2005: PhD candidate at the Massachusetts Institute of Technology.
- 2001-2008: Research Consultant for FreeSurfer. Research, Developpement, Design of several automated tools for the automated reconstruction of the brain's cortical surface from MRI data: these tools are part of the broadly-used free software FreeSurfer.
- 2001-2002: Research Engineer for RealViz, Sophia-Antipolis, France.
- Research Interest:
- Quantitative Finance: systematic trading (futures, stocks, options), volatility, learning.
- Statistical Learning: manifold learning, shape priors, kernel methods, graph laplacians.
- Biomedical Imaging: I am particularly interested in the development of techniques for the automatic construction and utilization of geometrically accurate and topologically correct models of the human cerebral cortex: segmentation, registration, cortical parcellation, among others. These models have great clinical and research significance as many neurodegenerative diseases result in progressive, regionally specific atroply of the cortical gray matter.
- Computer Vision: segmentation, 3D reconstruction, active contours, partial differential equations.
- Selected Publications (the complete list can be found here)
- Ségonne, F. Variance Dynamics - An empirical journey , arXiv:1507.00846, July 2010 (pdf).
- Ségonne, F. and Pacheco, J. and Fischl, B. Geometrically-Accurate Topology Simplification of Triangulated Cortical Surfaces Using Non-Separating Loops. IEEE Transaction on Medical Imaging, 26(4), p518-529, Apr 2007 (pdf).
- Ségonne, F. Active Contours Under Topology Control. Genus Preserving Level Sets. Internation Journal of Computer Vision, Sep 2007 (pdf).
- J.-P. Pons, F. Ségonne, J.-D. Boissonnat, L. Rineau, M. Yvinec, and R. Keriven. High-Quality Consistent Meshing of Multi-Label Datasets. I.P.M.I, July. 2007 (pdf).
- F. Ségonne, A.M. Dale, E. Busa, M. Glessner, D. Salat, H. K. Hahn, and B. Fischl. A Hybrid Approach to the Skull Stripping Problem in MRI. NeuroImage, vol. 22, pp. 1160-1075, 2004 ( pdf).
- Thorstensen, N. and Ségonne, F. and Keriven, R. Karcher means for shape and image denoising. International Conference on Scale Space (SSVM), Norway, Jun 2009 (pdf).
- Thorstensen, N. and Ségonne, F. and Keriven, R. Normalization and Preimage Problem in Gaussian Kernel PCA. IEEE International Conference on Image Processing, San Diego, USA, Oct 2008 (pdf).
- Duchenne, O. and Audibert, J.Y. and Keriven, R. and Ponce, J. and Ségonne, F. Segmentation by transduction. Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, Jun 2008 (pdf).