Data Scientist at Mendeley, working with a very motivated team on Recommender Systems to assist researchers worldwide.
Previously, I worked as a Research Assistant at the University of Glasgow on the SUPER-FP7 project titled "Social sensors for security assessments and proactive emergencies management" with Dr Richard McCreadie, Dr Craig Macdonald and Dr Iadh Ounis.
My PhD thesis, under the supervision of Professor Pablo Castells, is titled "Novelty and Diversity Evaluation and Enhancement in Recommender Systems". As a byproduct of the thesis, I developed RankSys, a Java 8 Recommender Systems framework for novelty, diversity and much more.
My publications until 2015 can be accessed through the web page of the Information Retrieval Group at UAM. Publications between 2015 and 2016 will be published in the web page of the Terrier Team at the University of Glasgow.
Working in the Data Science team lead by Kris Jack.
Working on the SUPER-FP7 project with R. McCreadie, C. Macdonald and I. Ounis.
Doing research towards my PhD thesis under the supervision of P. Castells and teaching lab sessions for undergraduate courses.
Working with L. Baltrunas and A. Karatzoglou.
Working with R.L.T. Santos, C. Macdonald and I. Ounis.
My main research topic during my PhD. I have a good knowledge about recommendation technologies, specially regarding the evaluation and enhancement of novelty and diversity in recommendations. I am the lead developer of RankSys, a Java 8 Recommender Systems framework for novelty, diversity and much more. My work on this topic has been published and presented in RecSys and other relevant conferences and venues.
I have done work on the diversification of web search results and query auto-completion for mobile search. I have experience in working with the Terrier open source search engine. My work on this research topic has been published and presented in SIGIR and other relevant conferences and venues.
While not being a research interest, I care about developing efficient and scalable implementations of algorithms and systems for my research. For this purpose, I have extensive experience in profiling, optimising and parallelising Java code, and in programming with distributed computing platforms and languages (Hadoop, Pig, Giraph).
Designing easy-to-access and user-friendly interfaces for your systems and algorithms is a requirement nowadays. Therefore, I have dealt with web technologies for designing good-looking interfaces (Bootstrap, jQuery) and powerful backends accessed via RESTful web services (Dropwizard).