Dr. Jonas Almeida leads a multidisciplinary program of data science and engineering research that combines systems biology, computational statistics, and software engineering for biomedical applications. The primary focus of his research is to accelerate the investigation of epidemiologic and genetic causes of cancer by developing innovative digital methods that advance the computational research infrastructure for precision prevention. Dr. Almeida seeks to identify and deliver consumer-facing architectures for precision medicine and prevention that employ cloud computing, web applications, and machine learning. He explores this interrelated computational ecosystem by developing portable software solutions that can migrate between data sources – from consumer genomics and digital pathology to wearable sensing devices; and between different contexts of application, from patients to caregivers. As Chief Data Scientist for the NCI Division of Cancer Epidemiology and Genetics (DCEG), Dr. Almeida has the dual responsibilities of 1) leading efforts for the integrated creation, management, and analysis of data-intensive knowledge bases, establishing cost-effective scalable researcher-facing analytic infrastructure, and defining new infrastructure to extract, manage, and analyze data to support epidemiological research within the Division; and 2) conducting independent research to advance real-time analytics of cancer “Big Data”. He provides support for the data and technology infrastructure used by the new prospective multi-center cohort study that will serve as an important Division-wide resource.