Anna Foix-Romero – EMBL-EBI

Anna Foix Romero is a computer scientist and mathematician who began her career as a scientific software engineer, working on genomics and artificial intelligence. Her work bridges the gap between computational techniques and biological research. She is currently pursuing a PhD at the European Bioinformatics Institute (EBI) under the supervision of Virginie Uhlamnn. Her research focuses on developing a framework for shape quantification in microscopy images using generative models, deep learning, and representation learning approaches. Her primary interest lies in employing mathematics and machine learning to uncover and enable biological insights from complex bioimages.

Anna Kreshuk – EMBL

Group leader of the Kreshuk group at the European Molecular Biology Laboratory, EMBL.

Anna Foix-Romero – EMBL-EBI

Anna Foix Romero is a computer scientist and mathematician who began her career as a scientific software engineer, working on genomics and artificial intelligence. Her work bridges the gap between computational techniques and biological research. She is currently pursuing a PhD at the European Bioinformatics Institute (EBI) under the supervision of Virginie Uhlamnn. Her research focuses on developing a framework for shape quantification in microscopy images using generative models, deep learning, and representation learning approaches. Her primary interest lies in employing mathematics and machine learning to uncover and enable biological insights from complex bioimages.

Aybuke Kupcu Yoldas – EMBL-EBI

Aybuke is a senior bioinformatician for the BioImage Archive at EMBL-EBI. Her background is on physics and astronomy, with the recent edition of biological imaging data. Prior to joining EBI she was a postdoctoral researcher at the University of Cambridge Institute of Astronomy, and before that at the European Southern Observatory in Germany. After her PhD, Aybuke’s focus has been on image analysis and data management. During that time she has worked on many astronomy projects as well as biological imaging data as part of a Cancer Research Grand Challenge project and a Covid-19 project.

Beth Cimini – Broad Institute

Dr. Beth Cimini is the Associate Director of Bioimage Analysis, CZI Imaging Scientist and head of the Cimini Lab in the Imaging Platform at the Broad Institute in Cambridge, MA. She obtained a PhD in Biochemistry and Molecular Biology with Dr. Elizabeth Blackburn at UCSF, studying splicing variants of the telomere master scaffolding protein TIN2. This work honed her interests in image analysis, leading her to postdoctoral and staff scientist roles with Dr. Anne Carpenter’s lab at the Broad, leading a team collaborating with ~30 outside scientists per year on custom image analysis projects. The Cimini lab focuses on bioimage analysis tool creation (Piximi) and maintenance (CellProfiler), as well as on applying open source tools to novel biological problems. She created and directs the Platform’s Postdoctoral Training Program in Bioimage Analysis, and also leads the Broad efforts towards community engagement and driving biological projects for the Center for Open Bioimage Analysis (COBA).

Beatriz Serrano-Solano – Euro-Bioimaging

Beatriz is a scientific outreach specialist with a strong commitment to community engagement. Her expertise includes strategic development, securing project funding, and collaborating effectively with interdisciplinary teams to expand outreach initiatives. Her academic journey has equipped her with a blend of skills in both biological sciences and computational technologies. She holds a PhD in Computational Biology, an MSc in Cellular & Molecular Biology, an MSc in Bioinformatics, and a BSc in Software Engineering, providing her with a solid foundation in both biological research and computational analysis.

Caterina Fuster-Barceló – Univerisity of Zurich

Damian Dalle Nogare – Human Technopole

Damian Dalle Nogare is the manager of NoBIAS, the National Bioimage Analysis Service, part of the National Facility for Data Handling and Analysis at the Fondazione Human Technopole in Milan, Italy where he leads a team of bioimage analysts and research software engineers. Prior to joining Human Technopole, he was a staff scientist in the section of neural developmental dynamics at the National Institutes of Health in Bethesda Maryland, where he worked on collective cell migration and organ patterning. He received his PhD in Biochemsitry and Cell Biology in 2008 from Rice University in Houston Texas, and his undergraduate degree in Biochemistry from the University of Otago in Dunedin, New Zealand.

Dominik Kutra – EMBL

Dominik is an electrical engineer by training who got absorbed by the software side of image analysis. After working as a researcher in medical image analysis at Philips Research, he joined the ilastik development team, led by Anna Kreshuk, in 2017. He is interested in delivering machine-learning based image analysis methods to domain experts in a user-friendly, reproducible way.

Frances Wong – University of Dundee

Frances Wong leads the Image Data Resource (IDR) project and is the scientific curator for the IDR. She received her PhD in Developmental Biology from the University of Edinburgh. She then carried out post-doctoral research in molecular biology, genetics, genomics, neuroscience and biomedical imaging. She has also worked on atlas-based gene expression databases and created new online scientific resources.

Ivan Hidalgo Cenalmor – Åbo Akademi University

Frances Wong – University of Dundee

Frances Wong leads the Image Data Resource (IDR) project and is the scientific curator for the IDR. She received her PhD in Developmental Biology from the University of Edinburgh. She then carried out post-doctoral research in molecular biology, genetics, genomics, neuroscience and biomedical imaging. She has also worked on atlas-based gene expression databases and created new online scientific resources.

Jean-Marie Burel – University of Dundee

Jean-Marie Burel joined the staff of the Swedlow lab in 2003. Since then, he’s been contributing to the development of OME. He received his PhD in mathematics from the University of Brest in 2000. His research interests lie in the area of harmonic maps, harmonic morphisms and geometric structure. After his PhD, he worked in a private company as developer then moved (September 2001) to Lund University, Sweden, where he held a post-doctoral research position. Jean-Marie now enjoys the muddy rugby pitches of Scotland.

Leonid Kostrykin – Heidelberg University

Leonid Kostrykin received the B.Sc. degree in Scientific Programming from the FH Aachen, Germany, in 2013, and the M.Sc. degree in Computer Science from the University of Düsseldorf, Germany, in 2016. Since 2016 he has been with the Biomedical Computer Vision Group (BMCV) at Heidelberg University, Germany, where he received the PhD degree in Computer Science in 2022. His main research interests include globally optimal methods for image analysis and biomedical applications. As the ELIXIR Germany Officer of the Heidelberg Center for Human Bioinformatics, he drives new developments of image analysis tools for the Galaxy platform and Bioconda.

Martin Weigert – EPFL

Martin Weigert studied Physics in Dresden, Germany and then did a PhD in computer science at the MPI-CBG in Dresden, where he worked on computational methods for the analysis, simulation, and restoration of fluorescence microscopy data. In 2019 he joined the SV faculty at EPFL as an ELISIR fellow, where his research focuses on machine-learning based methods for reconstruction and interpretation of large microscopy images.

Le Liu – Broad Institute

I am currently a visiting Ph.D. student at the Broad Institute of MIT and Harvard, working in Beth Cimini’s lab. I am interested in applying high-throughput imaging techniques to address complex biological questions in context of development, plant-environment interaction. Alongside my scientific pursuits, I am deeply passionate about effectively communicating scientific concepts and methodologies to diverse audiences.

Matthew Hartley – EMBL-EBI

Matthew is Team Leader for the BioImage Archive at EMBL-EBI. The Archive is EMBL-EBI’s cross modality data resource that allows both deposition of biological images associated with peer reviewed publications, and reuse of existing imaging data. Prior to joining EBI, Matthew led the Informatics team at the John Innes Centre, a research institute focussing on plant and microbial sciences. Matthew’s background is in image analysis, numerical and statistical modelling and scientific data infrastructure.

Martin Weigert – EPFL

Martin Weigert studied Physics in Dresden, Germany and then did a PhD in computer science at the MPI-CBG in Dresden, where he worked on computational methods for the analysis, simulation, and restoration of fluorescence microscopy data. In 2019 he joined the SV faculty at EPFL as an ELISIR fellow, where his research focuses on machine-learning based methods for reconstruction and interpretation of large microscopy images.

Petr Walczysko – University of Dundee

Petr Walczysko joined the OME project in October 2012 as a software specialist for testing and quality assurance. He studied at Charles University of Prague where he received Master of Science degree in Physics and the University of Freiburg in Germany where he received PhD in Biology. Throughout his PhD studies and his further career as a researcher he was intensively using conventional, confocal and multiphoton fluorescence microscopy applications on biological systems. He was adapting these optical microscopy techniques for particular biological problems, and also worked on the subsequent image analysis of microscopic images in a range of image analysis programs. He enjoys yoga, reading and chess.

Melina Velasquez – EMBL-EBI

Teresa Zulueta Coarasa – EMBL-EBI

Teresa has a PhD in Biomedical Engineering from the University of Toronto (Canada), where she used microscopy and image analysis to investigate the physical basis of embryonic wound repair. Following her PhD, Teresa moved to King’s College London (UK) for a postdoctoral position. She combined her skillset in bioimaging with cell and molecular biology to investigate cancer cell invasion. Teresa joined the BioImage Archive team at EMBL-EBI in October 2022 as a Bioinformatician.

Tushar Mandloi – EMBL-EBI

Virginie Uhlmann – University of Zurich and EMBL-EBI

Virginie Uhlmann is the Director of the BioVisionCenter at the University of Zurich and a Visiting Research Group Leader at the European Bioinformatics Institute (EMBL-EBI) in Cambridge. Her main research area is quantitative bioimage analysis, with strong interests in machine learning and computational geometry.