Fernando J. Iglesias García

Fernando J. Iglesias García edited this page Dec 17, 2017 · 9 revisions
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GMail: fernando[dot]iglesiasg irc: iglesiasg


  • Occupation: software engineer in the Netherlands.
  • Research interests: graph signal processing and Bayesian Monte Carlo methods. 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. During that summer, he started 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 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 Large Margin Nearest Neighbours (LMNN) and applied it to a metagenomics data set. This project was supervised by Georg Zeller.

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