The Genetics Podcast
EP 38: Big Data in genomics - why we need 'the cloud' and AI to make sense of it all with Dr Maria Chatzou Dunford
June 30, 2020
Genomic data, is big data - so how do we actually make sense of this huge amount of data? And why should we use 'the cloud’ to store and analyse it? We discuss how the cloud enables faster, safer, and less expensive genomic data analysis, and what the future could look like when AI is used to analyse the vast amount of human genetic data being generated. In this episode, we talk to Dr Maria Chatzou Dunford, CEO and Co-Founder of LifeBit, a company that wants to democratise analysis of genetic big data. Lifebit's platform allows researchers to analyse existing genetic data without having to copy from its original location, using 'federated data analysis' and the cloud. Lifebit's long-term aim is to not just make accessing and analysing data easier for researchers, but to develop Artificial Intelligence and Machine Learning tools to help researchers make sense of it.
Genomic data, is big data - so how do we actually make sense of this huge amount of data? And why should we use 'the cloud’ to store and analyse it? We discuss how the cloud enables faster, safer, and less expensive genomic data analysis, and what the future could look like when AI is used to analyse the vast amount of human genetic data being generated. In this episode, we talk to Dr Maria Chatzou Dunford, CEO and Co-Founder of LifeBit, a company that wants to democratise analysis of genetic big data. Lifebit's platform allows researchers to analyse existing genetic data without having to copy from its original location, using 'federated data analysis' and the cloud. Lifebit's long-term aim is to not just make accessing and analysing data easier for researchers, but to develop Artificial Intelligence and Machine Learning tools to help researchers make sense of it.