In the frame of the BioHIT lecture series, Dr. Maria Chatzou gave a talk at “Aigaio” meeting room of the Institute of Informatics & Telecommunications, on Wednesday 3 April 2019 at 14:00.
Title: Standardising & scaling big data analysis over cloud and HPC
Next Generation Sequencing (NGS) technologies have greatly matured over the past decade, and standardising how results from these experiments are generated, analysed and interpreted is of utmost importance to ensure reproducibility and interoperability. The process of going from sequencing data to interpretable information, and finally to actionable knowledge requires robust, multi-step bioinformatics workflows. At the same time, the nature of the data being big and workflows very complex requires these bioinformatics workflows to run over HPC and cloud infrastructure. These requirements for standardisation and scalability over HPC and cloud pose great challenges for bioinformaticians and data scientists alike. During this talk, we will discuss those challenges, and showcase how Lifebit’s Deploit platform is providing a novel and innovative solution.
Speaker Bio:
Dr. Maria Chatzou holds a PhD in Biomedicine, MSc in Bioinformatics and BSc in Computer Science and Biomedical Informatics. She is a biotech innovator and a proud geek, expert in bioinformatics, medical informatics and high performance computing (HPC). She is also a passionate entrepreneur. She has already founded two companies, Innovation Forum Barcelona and the Techstars-backed Lifebit.
As a researcher at the Centre for Genomic Regulation, in Barcelona, Spain, she designed and deployed tools and methods that facilitate the analysis of Big Biomedical Data, allow for biological discoveries, and promote personalised medicine. She was also part of the developing team of Nextflow, a programming framework that is revolutionising the computational analysis of genomic data.
Dr. Chatzou is a frequent industry speaker and has spoken on the subject of HPC, Cloud & Big Data, Genomics Workflows, Personalized Medicine, Women in Leadership, Entrepreneurship, Start-Ups and Deep Tech Innovation in many international conferences.

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