Dr Saúl Vargas

Data Scientist at Mendeley

About Me

Data Scientist at Mendeley (London), working with a very motivated team on Recommender Systems to assist researchers worldwide.


My PhD thesis, under the supervision of Professor Pablo Castells at the Autonomous University of Madrid (Spain), 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.


An up-to-date list of my publications is available in my Mendeley profile.

Mendeley RankSys

Contact Information

Location

Mendeley Ltd.
3rd Floor AlphaBeta Building
14-18 Finsbury Square
London EC2A 1BR, UK

Experience and Education

EXPERIENCE
Mendeley

Data Scientist

Mendeley, November 2015 - Current

Working in the Data Science team lead by Kris Jack.

University of Glasgow

Research Assistant

University of Glasgow, January 2015 - November 2015

Working on the SUPER-FP7 project with R. McCreadie, C. Macdonald and I. Ounis.

UAM

Teaching Assistant

Universidad Autónoma de Madrid, 2012 - 2014

Doing research towards my PhD thesis under the supervision of P. Castells and teaching lab sessions for undergraduate courses.

Yahoo! Labs

Research Intern

Yahoo! Labs Barcelona, Summer 2014

Working with R. Blanco and P. Mika.

Telefónica Research

Research Intern

Telefónica Research Barcelona, Summer 2013

Working with L. Baltrunas and A. Karatzoglou.

University of Glasgow

Visiting Researcher

Univeristy of Glasgow, Summer 2012

Working with R.L.T. Santos, C. Macdonald and I. Ounis.

UAM

Research Grant FPI-UAM

Universidad Autónoma de Madrid, 2011 - 2012

Doing research towards my Master's thesis under the supervision of P. Castells.

EDUCATION
UAM

PhD in Computer Science

Universidad Autónoma de Madrid, 2012 - 2015

Supervised by Professor Pablo Castells.
"Novelty and Diversity Evaluation and Enhancement in Recommender Systems".

UAM

MSc in Computer Science

Universidad Autónoma de Madrid, 2010 - 2012

Universität Bielefeld

Exchange Student

Universität Bielefeld, 2009 - 2010

As part of the Erasmus Programme.

UAM

BSc in Computer Science / BSc in Mathematics

Universidad Autónoma de Madrid, 2005 - 2010

Skills

Recommender Systems

Recommender Systems

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.

Information Retrieval

Information Retrieval

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.

Efficient and Scalable Programming

Efficient and Scalable Programming

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).

Web development

Web development

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).