Veroniki Stamati
Veroniki Stamati is an information security and privacy professional, who specialises within the area of governance, risk and compliance. Veroniki is responsible for Information Security and Privacy Engineering in Skyscanner, leading the implementation of security and privacy requirements in an agile manner across the organisation in order to respond to existing and emerging cyber threats. Previously she led the PCI DSS, GDPR and information security programmes of ACCA from their inception, and before that she was working across a variety of industries advising up to CxO level on Information Security Management, Data Protection & Privacy compliance. In addition to technical expertise, she is also a public speaker and has previously been a member of Toastmasters. She studied Informatics in Aristotle University of Thessaloniki in Greece and obtained her Masters in Computing, IT Law and Management from King's College London in the UK.
Santhosh Parampottupadam
Santhosh Parampottupadam is working as a Scientist in German Cancer Research Centre (DKFZ) based in Germany. He is working on Trusted Federated Data Analytics where the project aims to facilitate bringing the algorithms to the data in a trustworthy and regulatory compliant way instead of going a data-centric way which is a joint effort of DKFZ and CISPA – Helmholtz Center for Information Security. Prior to joining DKFZ he worked as Research Scientist in Kaspersky Lab, Ireland, and also an R &D Scientist at Fiserv, Ireland. He has been invited as one of the speakers in the World Machine Learning Summit 2019 held in Dublin.
Santhosh Holds Masters Degree from the National College of Ireland in Cloud Computing and completed his dissertation under Dr. Arghir-Nicolae Moldovan titled ‘Cloud-Based Real-Time Network Intrusion Detection using Deep Learning’ which is published at Glasgow Cybersecurity Conference 2018 and A Machine Learning Diploma(online) from Stanford University. His work focuses on cybersecurity, Trusted Federated Data Analytics, and machine learning in healthcare.