معرفی
Ole Winther is a Professor at the Department of Biology, University of Copenhagen, and a Professor at the Section for Cognitive Systems, DTU Compute, Technical University of Denmark. He specializes in high-dimensional biological data analysis, machine learning, and data science.
- Academic Affiliations: University of Copenhagen (Computational and RNA Biology), DTU Compute (Cognitive Systems)
- Leadership Roles: Chief Research Officer at raffle.ai, CTO at FindZebra, Head of ELLIS Unit Copenhagen, co-PI of Machine Learning for Life Science (MLLS) Center
Research Interests
- Bioinformatics: Protein sequence analysis (SignalP, DeepLoc, DeepTMHMM), single-cell gene expression, RNA/DNA level regulation
- Latent Variable Models: Variational autoencoders, diffusion models, deep generative models, structured mean-field, matrix factorization
- Natural Language Processing: Enterprise search applications, medical context LLMs, joint retrieval/generation models
- AI for Science: Surrogate models for physical models (density functional theory), fast scientific dataset generation
Publication Trends
His research focuses on deep learning methods for bioinformatics and AI applications, with a strong emphasis on variational inference, generative models, and probabilistic architectures. Publications span top venues like Bioinformatics, NeurIPS, ICML, and JMLR, addressing both theoretical and applied challenges.
Teaching
He teaches courses on deep learning at both institutions (02456 Deep Learning at DTU and NDAK24002U Deep Learning at University of Copenhagen).
Research Group
His current group includes PhD/postdoc researchers like Panagiotis Antoniadis, Felix G. Teufel, and Irene R. Rodriguez. Former advisees include Casper Kaae Sønderby, Marco Fraccaro, and Lars Maaløe, many of whom now hold prominent industry/academic positions.
