The workshop will be focused on, but not limited to, the following broad themes:
Scalable algorithms, tools, and techniques for the engineering of data in molecular biology, genomics, medical imaging, clinical and administrative operations, and medical sciences,Practical approaches for the secure and privacy-preserving management and sharing of diverse and heterogeneous biomedical data, including data de-identification, methods for distributed data analysis and synthetic data generation,Specialized algorithms for efficient storage and delivery of precision medicine data products,Machine learning and artificial intelligence-enabled engineering, cleaning, curation, fusion and quality control of data for precision medicine,Workflows and pipelines for life science data engineering,High performance computing methods and software for the derivation of biomedical data products, andSoftware and hardware foundations for managing Big Data in biomedical informatics.