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Fernando J. Iglesias García
GMail.com address: fernando[dot]iglesiasg irc: iglesiasg
Occupation: BallJames software engineer at SciSports in Enschede, The Netherlands. Research interests: statistical signal processing (mainly Monte Carlo methods) and graph signal processing. Bayesian multiple object tracking. Other interests: machine learning in education and open source, the amazing evolution of robotics, competitive programming as a tool to improve problem solving skills, fitness, travel, and games.
Fernando got involved in Shogun back at the beginning of 2012 with the goal of becoming a GSoC student, which he did, starting Shogun's framework for structured output learning under the supervision of Nico Görnitz and Georg Zeller.
At the end of 2012 and during the first half of 2013, Fernando used Shogun for his undergraduate thesis work on structured output learning applied to label sequence learning and learning of general structured output models (aka graphs). The latter part was the precursor of GSoC 2013 project developed by @hushell and mentored by Patrick Pletscher.
During the summer of 2013, Fernando implemented in Shogun the metric learning algorithm known as Large Margin Nearest Neighbours (LMNN) and applied it to a metagenomics data set. This work was performed under the supervision of Georg Zeller.
- GSoC student experience in Shogun: primal SO-SVM and LMNN.
- Profiling Shogun code.
- Anything else :-)