People can do amazing things with ideas. How can we build software products that help us to do even more amazing things with ideas? Focussed on making software that helps people to understand information, communicate it and make new discoveries. Get-it-done attitude. Proud to be leading Mendeley's Data Science team and being the Back-end Product Owner for Recommender Systems.

Head of Data Science @ From May 2015 to Present (8 months) Chief Data Scientist @ Responsible for the Research activities in Mendeley. Main Goals: - Build a strong R&D team with the specialist knowledge required to exploit Mendeley’s data and give the company a competitive advantage - Contribute to securing funding for innovative R&D activities - Produce an implementable design to bring the high level data vision from concept to product - Integrate innovative data technologies in Mendeley’s products From July 2012 to Present (3 years 6 months) London, United KingdomPrincipal Tech Researcher @ From March 2013 to April 2015 (2 years 2 months) London, United KingdomSenior Data Mining Engineer @ - Team Lead for the data mining team (up to 8 people) - Recommendation system for scientific material. - Semantically-based information extraction. - Automatic reference extraction using CRFs. + Lots more! From March 2010 to July 2012 (2 years 5 months) London, United KingdomMarie Curie Visiting Senior Researcher @ Visiting Senior Lecturer as part of the Marie Curie TEAM project. Researching techniques to improve a scientific research article recommendation system using a mixture of content-based and collaborative filtering algorithms. From November 2011 to February 2012 (4 months) Research Associate in National Centre for Text Mining @ - Developing text mining tools in the biomedical domain. - Recommendation system for clinical trial protocols. - Semantically-based information extraction. From September 2009 to March 2010 (7 months) Manchester, United KingdomExpert R&D Engineer @ - Developing a semantic map of the French language. - Machine learning techniques including automatic classification of huge sets of web pages. - Researcher's tool for studying child language acquisition. From June 2008 to June 2009 (1 year 1 month) Paris Area, FranceExpert R&D Engineer @ - Developing a personalised system for Orange film buyers. - Recommendation system for films using a new hybrid approach giving more control to users. - Data visualisation of actor similarity using the Google distance metric and displayed as radial trees. From December 2006 to June 2008 (1 year 7 months) PhD Research Student @ PhD in the Computational Modelling of Child Language Acquisition. Despite the fact that we have all done it, none of us know how we learned our first language. Modern linguists, psychologists and cognitive scientists also disagree about how children learn language. The research conducted here took multi-disciplinary research and used computer modelling to investigate this mystery. The results suggested that the stages in child language acquisition point towards a learning mechanism that is emergent and statistical in nature and not a traditional parametrised learning model. From 2002 to 2006 (4 years) Dundee, United Kingdom

PhD, Computer Science @ The University of Dundee From 2002 to 2006 BSc Hons, Applied Computing @ The University of Dundee From 1998 to 2002 Kris PhD? is skilled in: Team Leadership, Research, Recommendation Systems, Computational Linguistics, Hadoop, MapReduce, Collaborative Filtering, Java, C++, HTML, Data Mining, Machine Learning, Data Analysis, SVM, Software Project Management