News
Congratulations to the ECCB 2026 prize winners
Posted on 16 September 2026
ECCB recognized the following outstanding researchers for their excellence in computational biology.
Conference Proceedings Awards
PROTEINS & STRUCTURAL BIOLOGY
Daniil Litvinov (University of Basel & SIB, Switzerland)
Stoic: Fast and accurate protein stoichiometry prediction
Daniil Litvinov (University of Basel & SIB, Switzerland)
Stoic: Fast and accurate protein stoichiometry prediction
TRANSCRIPTOMICS AND GENE REGULATION
Zhi Wei (New Jersey Institute of Technology, USA)
SlotDeconv: Spatial transcriptomics deconvolution via diversity-constrained prototype learning and spatial refinement
Zhi Wei (New Jersey Institute of Technology, USA)
SlotDeconv: Spatial transcriptomics deconvolution via diversity-constrained prototype learning and spatial refinement
BIODIVERSITY, SUSTAINABILITY & ENVIRONMENTAL BIOINFORMATICS
Himmi Lindgren (University of Turku, Finland)
A spectrum of gut microbiota signatures predicts long-term health status
Himmi Lindgren (University of Turku, Finland)
A spectrum of gut microbiota signatures predicts long-term health status
GENOMICS, EPIGENOMICS, AND GENOME EDITING
Xian Yu (University of Hong Kong, China)
Leveraging ONT move table values for signal-aware variant calling
Xian Yu (University of Hong Kong, China)
Leveraging ONT move table values for signal-aware variant calling
SYSTEMS BIOLOGY, MULTI-OMICS INTEGRATION AND MODELLING
Ying-Ju Lai (University of Pittsburgh, USA)
Multimodal contrastive learning for integrating molecular representations and cellular phenotypes in drug–target interaction prediction
Ying-Ju Lai (University of Pittsburgh, USA)
Multimodal contrastive learning for integrating molecular representations and cellular phenotypes in drug–target interaction prediction
Poster Awards
PROTEINS & STRUCTURAL BIOLOGY
Amir H. Asgary (Max Planck Institute for Multidisciplinary Sciences, Germany)
PMGen: from peptide-MHC structure prediction to peptide generation
Amir H. Asgary (Max Planck Institute for Multidisciplinary Sciences, Germany)
PMGen: from peptide-MHC structure prediction to peptide generation
TRANSCRIPTOMICS AND GENE REGULATION
Heeba Anjum (Indian Institute of Science, India)
Integrative bioinformatics to identify dynamic transcriptional and post-transcriptional controls
Heeba Anjum (Indian Institute of Science, India)
Integrative bioinformatics to identify dynamic transcriptional and post-transcriptional controls
BIODIVERSITY, SUSTAINABILITY & ENVIRONMENTAL BIOINFORMATICS
Niklaus Johner (Lausanne University Hospital, Switzerland)
zDB: bacterial comparative genomics made easy
Niklaus Johner (Lausanne University Hospital, Switzerland)
zDB: bacterial comparative genomics made easy
GENOMICS, EPIGENOMICS, AND GENOME EDITING
Tobias Dieselhorst (ETH Zurich, Switzerland)
Analytic integration over tree space: efficient inference of tumor evolution dynamics
Tobias Dieselhorst (ETH Zurich, Switzerland)
Analytic integration over tree space: efficient inference of tumor evolution dynamics
SYSTEMS BIOLOGY, MULTI-OMICS INTEGRATION AND MODELLING
Subasini Thangamani (RPTU Kaiserslautern-Landau, Germany)
MorphoMapper: 3D segmentation-driven feature mapping of stress-perturbed mitochondrial remodeling
Subasini Thangamani (RPTU Kaiserslautern-Landau, Germany)
MorphoMapper: 3D segmentation-driven feature mapping of stress-perturbed mitochondrial remodeling
GENERAL COMPUTATIONAL BIOLOGY
Fatemeh Rajaei Nesheli (Queen's University Belfast, UK)
Graph-based machine learning approaches for predicting microbiome composition
Fatemeh Rajaei Nesheli (Queen's University Belfast, UK)
Graph-based machine learning approaches for predicting microbiome composition
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