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Rename 'image' to 'img_path' in keynote speakers CSV
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data/keynote_speakers.csv

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order,name,image,position,txt,web,title
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order,name,img_path,position,txt,web,title
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1,Helena Kilpinen,,,"Helena Kilpinen is a tenure-track associate professor in human genetics and genomic medicine at the University of Helsinki, in the Helsinki Institute of Life Science (HiLIFE) and the Faculty of Medicine, and group leader at the Institute for Molecular Medicine Finland (FIMM) and the HiLIFE Neuroscience Center. She is interested in cellular genetics and the cellular basis of developmental and other brain-related disorders. In her research group, they use human induced pluripotent stem cells (iPSC) as models, and combine computational and experimental methods to study how genetic variation causes variability in cell phenotypes and contributes to differential susceptibility to diseases, both common and rare.",,Joint profiling of cell morphology and gene expression in neuronal disease models
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2,Levi Waldron,,,"Levi Waldron is Professor of Epidemiology and Biostatistics at the City University of New York, where he leads a research program in cancer genomics and in metagenomic profiling of the human microbiome, develops methods within the intersection of statistical analysis and computation, and works to develop an inclusive community of researchers and students around open-source bioinformatics software and methods. His research group aims to generate new insights into human health, disease, and treatment through improved tools and novel analysis of publicly available data. He is an active contributor to the Bioconductor project and member of its Technical Advisory Board.",,Curated metagenomic databases for meta-analysis of the microbiome and disease
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3,Anders Krogh,,,"Anders Krogh is professor in the Department of Computer Science and the head of the Center for Health Data Science (HeaDS) in the Faculty of Health and Medical Sciences at the University of Copenhagen. He has worked in many areas of bioinformatics and machine learning, both with theory and applications, particularly on hidden Markov models for biological sequences. In recent years, he has focused on deep generative models and applied them to gene expression data and other bio/medical data.",,A deep generative model applied to gene expression data and multimodal data

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