Aleksis Xenophon

Aleksis Xenophon is a Senior Optimisation and Machine Learning Engineer at Amber Electric, with a prior role as a Distributed Energy Optimisation Analyst. Experience includes a position as a Software Developer at Envector, focusing on web-based applications utilizing optimisation and cloud computing technologies, and the development of an interactive API approximation of Australia's National Electricity Market Dispatch Engine. Previous roles encompass a Senior Research Assistant and PhD Candidate at The University of Hong Kong, where research concentrated on power sector emissions policies and their economic implications. At the University of Adelaide, Aleksis served as a tutor for an undergraduate economics course, and held internships at Frontier Economics (Asia-Pacific) and Arup, contributing to data analysis and engineering tasks, respectively. Academic credentials include a PhD in Electrical Engineering from The University of Hong Kong and dual bachelor's degrees in Mechanical Engineering and Economics, both from the University of Adelaide.