I’m an applied machine learning scientist in the supply chain optimisation technology (SCOT) team at Amazon. I build Bayesian emulators of Amazon’s marketplace components used in simulating scenarios for inventory planning and control.
Before joining Amazon, I was exploring the start-up world as an early member of Secondmind. I started as a senior machine learning researcher helping to build the research team and the technology of the company and then shifted to an applied scientist role focusing on creating new models for customer products.
Previously I was a research assistant at Imperial College London where I got my PhD in Computing at the intelligent behaviour understanding group (iBUG) under the supervision of Prof. Maja Pantic. Before that I studied in Aristotle University of Thessaloniki where I received my Diploma in Electrical and Computing Engineering.
Between my undergrad and doctoral studies I worked as a research assistant at the signal processing and biomedical technology unit lab with Prof. Leontios Hadjileontiadis.
In the early years, together with Stamatis Georgoulis, Dimitris Tzionas and Kostas Vrenas we took part in Microsoft’s Imagine Cup software developement competition and participated in the world finals after receiving the 1st national award for our project Epione.