McGill University and Genome Quebec Innovation Centre
740 Dr Penfield Ave, Room 4200
Montréal (Québec) H3A 1A4, Canada
- 2014-Present: Postdoc, McGill University, Human Genetics Department, with Guillaume Bourque.
- 2013: Postdoc, Tokyo Institute of Technology, Computer Science Department, with Masashi Sugiyama.
- 2009-2012: PhD student, Ecole Normale Superieure de Cachan, Computer Science Department, with Francis Bach and Jean-Philippe Vert.
- 2008-2009: Masters student, Université Paris 6, Statistics Department, with Mathieu Gautier and Jean-Louis Foulley.
- 2006-2008: research assistant at Sangamo BioSciences.
- 2002-2006: undergraduate, UC Berkeley, Double major in Molecular & Cell Biology and Statistics, with Terry Speed.
- Full CV
Research interests: fast and accurate algorithms for convex optimization (clustering, regression, ranking, classification) and discrete optimization (changepoint detection, dynamic programming). The main application domain for the algorithms I develop are in genomic data analysis (DNA copy number, ChIP-seq, etc); other applications include neuroscience, audio, internet, sensors, recommendation and ranking systems.
I think reproducible research is important, so in addition to every paper I write, I also provide
- A reference implementation of the algorithm(s) described in the paper, typically as an R package.
- Source code for doing the analyses and creating the figures, typically in a GitHub repo.
|Mar 8, 2018||Our paper about Novel Markers for Poor Survival in High-risk Neuroblastoma Patients has been published in the Journal of the National Cancer Institute.|
|Feb 26, 2018||In August 2018 I will be starting my own lab as an Assistant Professor for the School of Informatics, Computing, and Cyber Systems of Northern Arizona University – if you are an NAU student who is interested in working on machine learning research, please contact me for job opportunities.|
|Sep 5, 2017||My paper about “Max Margin Interval Trees” with Alex Drouin and François Laviolette (Univ. Laval) has been accepted for a poster presentation at NIPS 2017.|