Ole Winther

Ole Winther


Richard Petersens Plads

Building: 321, 115

2800 Kgs. Lyngby


Phone: 45253895

Fax: 45872599

Ole Winther’s (OW) research subject is machine learning. Machine learning combines statistical modelling and artificial intelligence, drawing inspiration from neuroscience for model building and often deals with large amounts of data. OW works with methods development and applications in bioinformatics (computer-driven large scale biological data analysis), neuroinformatics, and recommender systems. For example, collaborative filtering can be used to learn personalized movie recommendations from data bases of the users' taste. The fundamental methods have many application in the information society and modern data-driven sciences. OW has published 100+ scientific papers, has supervised/is currently supervising 15+ PhD-students plus 40+ master projects and is collaborating with companies and research institutions such as Siemens Windpower, GreenGoEnergy, Tradeshift and Biotech Research and Innovation Centre (BRIC), University of Copenhagen (KU). Ole Winther (Cand. Scient. physics, Bac. computer science, 94 and PhD physics 98, KU) has been post doc at Lund University, Sweden and Center for Biological Sequence Analyse, Technical University of Denmark (DTU). OW is professor at Cognitive Systems (CogSys), DTU Compute, DTU and group leader in Bioinformatics, KU. More information is available from http://cogsys.compute.dtu.dk/staff/winther/ .

View graph of relations
  • Journal of Machine Learning Research

    ISSNs: 1533-7928, 1532-4435, 1533-7928, 1532-4435, 1533-7928

    Additional searchable ISSN (Electronic): 1533-7928, 1532-4435

    M I T Press, United States

    ISI indexed (2013): ISI indexed no, BFI (2015): BFI-level 2, Scopus rating (2015): 1.648 1.824

    Local database


  • Neurocomputing

    ISSNs: 0925-2312

    Additional searchable ISSN (Electronic): 1872-8286

    Elsevier BV, Netherlands

    ISI indexed (2013): ISI indexed yes, BFI (2015): BFI-level 1, Scopus rating (2015): 1.202 1.757

    Local database


  • Nucleic Acids Research

    ISSNs: 0305-1048, 0305-1048, 1362-4962

    Additional searchable ISSN (Electronic): 0261-3166

    Oxford University Press, United Kingdom

    ISI indexed (2013): ISI indexed yes, BFI (2015): BFI-level 2

    Local database


View all »

Download as:
Download as PDF
Select render style:
Download as HTML
Select render style:
Download as Word
Select render style:
Download as: To download, please limit the number of search results to 1,000 or less.

Place of employment

Latest activities and conferences

ID: 2175752