Dr. Nikos Giatrakos has been invited to deliver a talk entitled: "Extreme Scale Big Data Analytics Towards Battling Cancer " at the EMBO Workshop: Computational models of life: From molecular biology to digital twins. EMBO is an organization of more than 2,000 leading researchers that promotes excellence in the life sciences in Europe and beyond. The event will take place between 26 November to 01 December, at Eden Roc Mediterranean Hotel & Spa, Sant Feliu de Guíxols, Spain.
Friday, 01 Dec 2023, 11:30 - 12:15 Spain Time (12:30 – 13:15 Greek Time)
Extreme Scale Big Data Analytics Towards Battling Cancer
In precision medicine scenarios, the use of virtual patients in in-silico medical trials holds the promise of revolutionizing the process of novel treatment development by providing an easy, cost-effective and patient-friendly way to perform preliminary assessment of drug safety and efficacy. In the battle against cancer, life scientists from the Barcelona Supercomputing Center and computer scientists from the Technical University of Crete have joined forces to develop a virtual laboratory for studying tumor growth and evolution using a prominent, open-source simulation framework, namely PhysiBoSS 2.0. In this talk, we are going to elaborate on two fundamental Big Data frameworks that aid in effectively deploying PhysiBoSS in practical scenarios. The first is the RATS framework that comes in handy before the medical study starts. RATS optimizes HPC resource allocation for a series of tumor simulations involved in a given medical study, thus prescribing the core hours that should be asked and reserved from HPC admins simultaneously reducing the overall simulation time and cutting time to market for the results of the most promising simulations. The second framework is INforE which ingests the voluminous, high speed data streams that are produced by simulations at runtime and serves efficient Big Data analytics on them across networked multi-cloud and multi-platform settings.
About the Speaker
Nikos Giatrakos is an Assistant Professor at the School of Electrical and Computer Engineering of the Technical University of Crete (Greece). He received a BSc degree in Computer Science from the University of Piraeus (Greece) in 2006, the MSc degree in Information Systems from the Athens University of Economics and Business (Greece) in 2008, and the PhD degree in Computer Science from the University of Piraeus (Greece) in 2012. His research interests are in the broad area of Big Data Management algorithms, software architectures and systems including Big streaming Data & Real-Time Analytics, Distributed/Decentralized Big Data Processing, Federated Machine Learning, Edge-to-Cloud Big Data Management, Synopses for Massive Data/Approximate Query Processing, Complex Event Processing. He was a recipient of the Best Demo Paper Award in ACM CIKM 2020. He has contributed as one of key investigators in several recent EU projects, he has served as the co-coordinator of the EU H2020 project INFORE and he serves as a Principal Investigator at the EU Horizon project EVENFLOW.