I am now a post-doctoral researcher and lecturer at ETH Zurich in the data analytics group. I completed my PhD in Computer Science at EPFL (Lausanne, Switzerland) in September 2013. I have a broad interest in machine learning as well as applications to bioinformatics, natural language processing, information retrieval and computer vision..

Contact information
ETH Zurich
Universitätstrasse 6
8092 Zürich
Switzerland
E-mail: aurelien { DOT } lucchi { AT } inf { DOT } ethz { DOT } ch

• Optimization for machine learning and big-data analysis
• Probabilistic graphical models, structured prediction
• Deep learning
• Image understanding
• Natural language processing

• March 2016: Our team won this year's international text sentiment classification competition, organized by SemEval
• April 2015: Released Dissolve^struct, an open source distributed solver for large scale structured prediction. Work done with Tribhuvanesh Orekondy and Martin Jaggi.
• April 2014: Started a post-doc at ETHZ
• September 2013: PhD Graduation
• March 2013: Release of a new 3D Electron Microscopy dataset of rodent brain
• Summer 2012: Internship at Microsoft Research (Cambridge UK).
• Summer 2011: Internship at Google (New York Research Center).