Ole Winther

Ole Winther

Professor with special responsibilities, Visiting professor, Professor MSO

Member of:

    ORCID: 0000-0002-1966-3205

    ORCID                           0000-0002-1966-3205

    WEBSITE                       https://olewinther.github.io/

    DATE OF BIRTH            December 18 1967, Denmark

    CONTACT                     +45 30113583; ole.winther@bio.ku.dk

    EDUCATION

    1998                 PhD, Physics, University of Copenhagen, Denmark (UCPH)

    1994                 Master of Science, Physics, UCPH

    SCIENTIFIC FOCUS AREAS

    Machine learning methods development, bioinformatics for biological sequence analysis and transcriptomics, natural language processing for health informatics and search.

    POSITIONS

    2018-present    Professor MSO, UCPH/Rigshospitalet and Professor, DTU

    2016-2018         Professor, DTU Compute and Group Leader, Bioinformatics Centre, UCPH

    2006-2015         Assoc Professor, DTU Compute and Group Leader, Bioinformatics Centre, UCPH

    2001-2005         Assoc Professor, IMM, DTU

    2000-2001         Assist Research Professor, Center for Biological Sequence Analysis (CBS), DTU

    2000                   Assist Res Professor, Informatics (IMM), Technical University of Denmark (DTU)

    1998-2000         Postdoctoral Fellow, Complex Systems Group, University of Lund

    ACADEMIC  ACCOMPLISHMENTS

    2011-                Databases for gene expression in hematopoietic system hemaexplorer and

    bloodspot; biological sequence analysis prediction servers DeepLoc, SignalP-5.0, SignalP-6.0, NetSurfP-2.0 and DeepTMHMM ; rare disease search engine findzebra.com

    1996-present    Visit/sabbatical at Oxford, Cambridge and UCSC, industrial consultancies/collaborations.

    1996-present    100+ presentations as invited speaker at conferences, companies, schools and institutions.

    MAIN CURRENT FUNDING

    2023-2027        Novo Nordisk Foundation Data Science Collaborative Research, 30 MDKK; “CAZyme specificity prediction using AI (CAZAI)”, co-PI

    2021-2025        Novo Nordisk Foundation Data Science Collaborative Research, 30 MDKK: “Center for Basic Machine Learning Research in Life Science”, PI.

    2021-2023         DFF 11.95 MDKK, “DELIGHT: DEep LearnIng Green cHemical caTalysis”, co-PI, PI Tejs Vegge.

    2020-2023         DFF 2.62 MDKK, “Few-shot generative modelling”, PI

    2020-2022        Novo Nordisk Foundation 5 MDKK: "Self-correcting Unsupervised Reaction Energies (SURE)", co-PI, PI Tejs Vegge

    2020                 ELISE (EU 951847) grant to ELLIS co-applicant, co-PI

    SUPERVISION AND TEACHING

    25+ PhD super/co-supervision completed, 7 current and 100+ master projects.

    Frequent PhD opponent/committee chairman (DK, Sweden, Finland, The Netherlands, UK)

    Current teaching: Deep learning, machine learning

    Initiated what has become DTU’s highly popular BSc in AI and data (https://www.dtu.dk/uddannelse/bachelor/kunstig-intelligens-og-data),

    Started and runs for DK unique data science courses:

    INNOVATION

    2014 & 2018   DTU spin-out findzebra.com and natural language processing AI start-up raffle.ai.

    REVIEWER AND GRANT EVALUATION ACTIVITIES

    2015-   Editorial Board, TMLR, TPAMI (2021-22) and Frontiers Oncology; Referee and area chair top machine learning and bioinformatics journals and conferences (NeurIPS, ICML, ICLR, AISTATS),

    2015-    Referee on grant, hirings and on 25+ PhD committees.

    2021     ELLIS fellow and head of ELLIS Cph Unit

    RECENT OUTREACH

    2023     Podcasts 24 questions for the professor, Radio 4 and KPMG.

    2023     Contributor lex.dk.

    BIBLIOMETRICS (as of May, 2023)

    150+ peer-reviewed papers

    H-index: Google Scholar: 61

    Citations: Google scholar: 19700

    Published papers as first author: 7+; as senior/corresponding author: 70+

    INTERNATIONAL RELATIONS (CURRENT KEY COLLABORATORS)

    Henrik Nielsen (DTU), Dennis Madsen (Novo Nordisk), Manfred Opper (TU Berlin). 

    ID: 171145930