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Kris Jack, BSc Hons, PhD

Chief Data Scientist , Mendeley
London, United Kingdom

Research field: Computer and Information Science - Artificial Intelligence
Recommender Systems, De-duplication, Information Extraction, Data Science

Publications

Awards and Grants

  •  Jun 2005 
    Nuffield Foundation View website
  •  Jun 2005 
    Royal Academy of Engineering View website
  •  Jun 2004 
  •  Apr 2001 
    NCR Scotland Prize for Excellence in Computing View website
  •  Apr 2000 
    NCR Scotland Prize for Excellence in Computing View website
  •  Apr 1999 
    NCR Scotland Prize for Excellence in Computing View website
  •  Apr 1998 
    NCR Scotland Prize for Excellence in Computing View website

Biographical Information

Mendeley (Chief Data Scientist), responsible for the Research activities in Mendeley.
- 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

Mendeley (Senior Data Mining Engineer)
- Personalised recommendation system for research material.
- Building related research feature from document relatedness algorithms.
- Automatic reference extraction using Conditional Random Fields.
- Data mining team lead
+ lots more!

NaCTeM, School of Computer Science, University of Manchester, UK (Research Associate)
- Developing text mining tools in the biomedical domain.
- Recommendation system for clinical trial protocols.
- Semantically-based information extraction.

Commissariat à l'Energie Atomique (CEA), France (Expert Research & Development 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.

Orange Labs (Formally France Télécom R&D), France (Expert Research & Development 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.

School of Computing, University of Dundee, UK (PhD in Artificial Intelligence)
- A computational model of language acquisition.
- Modelling the developmental trajectory of child language through multiple stages from word learning to employing role-based syntax.
- Explaining psycholinguistic data through computational modeling.

CV

Professional Experience


2012 - Present
Chief Data Scientist at Mendeley
London, United Kingdom
Mar 2010 - Jul 2012
Senior Data Mining Engineer at Mendeley
London, United Kingdom
Sep 2009 - Mar 2010
Research Associate in NaCTem at University of Manchester
Manchester, United Kingdom
Jun 2008 - Jun 2009
Expert R&D Engineer at Commissariat à l'Énergie Atomique
Fontenay-aux-Roses, France
Dec 2006 - Jun 2008
Expert R&D Engineer at France Télécom
Lannion, France
Education


Aug 2002 - Oct 2006
University of Dundee in Dundee, United Kingdom
PhD in Applied Computing
Aug 1998 - Aug 2002
University of Dundee in Dundee, United Kingdom
BSc Honours in Applied Computing
Consulting Services

International Projects
-----------------------
2013-now EEXCESS European Project (http://eexcess.eu/) Chief Scientist for Mendeley
2012-now ERASM European Project: Chief Scientist for Mendeley
2012-now CODE European Project (http://code-research.eu/): Chief Scientist for Mendeley
2011-now TEAM European Project (http://team-project.tugraz.at/): Chief Scientist for Mendeley
2011-2012 MAKIN' IT European Project: Datamining Engineer

Invited Talks
---------------
2013 Invited Keynote: Mendeley’s Research Catalogue: building it, opening it up and making it even more useful for researchers, WOSP'13, JCDL'13 (http://www.slideshare.net/KrisJack/wops-2013krisjack),
2012 Invited Speaker: Mendeley Suggest: engineering a personalised article recommender system, Recommender Systems 2012, Dublin
2012 Invited Speaker: Mendeley’s data and perspective on data challenges, Recommender Systems 2012, Dublin
2012 Invited Speaker: Scientific Article Recommendation with Mahout, Data Science London (http://www.slideshare.net/KrisJack/scientific-article-recommendation-with-mahout)
2012 Invited Speaker: Mahout becomes a Researcher: Large Scale Recommendations at Mendeley, Big Data Week, Hadoop Users Group UK (http://www.slideshare.net/KrisJack/mahout-becomes-a-researcher-large-scale-recommendations-at-mendeley)
2012 Invited Speaker: Cloud Elephants and Witches: A Big Data Tale from Mendeley, DataScience (http://datascience.at/), Graz, Austria
2011 Invited Keynote: Special track on Recommendation, Data Sharing and Research Practices in Science 2.0, I-KNOW 2011
2010 Invited Keynote: Recommender Systems for Technology Enhanced Learning (RecSysTEL, http://adenu.ia.uned.es/workshops/recsystel2010/)

Programme Chair
---------------------
2013 Workshop on Academic-Industrial Collaborations for Recommender Systems 2013 (http://bit.ly/114XDsE).
2012 ScienceRec12, ACM Recommender Systems 2012 (http://2012.recsyschallenge.com/).
2012 Special Track Research 2.0, I-KNOW 2012 (http://i-know.tugraz.at/i-science/science-2-0).
2011 Special track on Recommendation, Data Sharing and Research Practices in Science 2.0, I-KNOW 2011.

Programme Committee
---------------------------
2014 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE) (https://www.kde.cs.uni-kassel.de/ws/muse2013)
2014 Synchronic and Diachronic Approaches to Analyzing Technical Language (SADAATL), COLING 2014.
2014 I-KNOW 2014 (http://i-know.tugraz.at/)
2014 Recommender Systems for Learning, 14th IEEE International Conference on Advanced Learning Technologies - ICALT2014 (http://www.ask4research.info/icalt/2014/node/7)
2014 5th International Workshop on Modeling Social Media: Mining Big Data in Social Media and the Web, WWW2014.
2013 ACM RecSys conference workshop on Reproducibility and Replication in Recommender Systems Evalaution (RepSys) (http://repsys.project.cwi.nl/)
2013 Metadata & Semantics for Open Access Repositories & Data Infrastructures 2013, MTSR'13
2013 2nd International Workshop on Mining Scientific Publications, JCDL 2013 (http://core-project.kmi.open.ac.uk/jcdl2013/)
2013 I-KNOW 2013 (http://i-know.tugraz.at/)
2013 Hypertext2013 (http://ht.acm.org/ht2013/)
2013 Linking people: Social Media, Hypertext 2013 (http://ht.acm.org/ht2013/tracks/social/)
2012 Metadata & Semantics for Open Access Repositories, Research Information Systems and Infrastructurse (http://mtsr2012.uca.es/), MTSR'12
2012 1st International Workshop on Mining Scientific Publications, JCDL 2012 (http://core-project.kmi.open.ac.uk/jcdl2012/)
2011 Metadata & Semantics for Open Access Repositories & Infrastructures 2011 (http://ieru.org/org/mtsr2011/OAR/), MTSR'11
2009 Rencontres Jeunes Chercheurs en Recherche d'Informations 2009

Advisory Boards
--------------------
2012 - Present: Sitting on the Editorial Advisory Board for the Journal of Open Research Software
2012 - Present: Sitting on the External Advisory Board for the FP7 INFRA project called "agINFRA: A data infrastructure to support agricultural scientific communities" (http://www.aginfra.eu/).

Interviews
----------------
2013 - How To Make Room For Experts In Your App, Luke Dormehl (http://www.fastcolabs.com/3014630/open-company/how-to-make-room-for-experts-in-your-app)

Location

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London, United Kingdom
Main City

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