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Profile
Keywords
neuroinformatics
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Bioinformatics
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machine learning
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/ .
See profile and cv in DTU Orbit...