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Arès Méroueh

Lead Data Scientist, Energy Transition and Environment

Ares has overseen the development of several projects in the Engineering and Built Environment field, including work on reinforcement learning algorithms to generate designs and end-to-end pipelines that accurately detect, geolocate and measure engineering assets and their surroundings from video footage.

Prior to joining Faculty, Ares completed a PhD thesis in Pure Mathematics from the University of Cambridge, where he also did his undergraduate studies in Mathematics. His doctoral research focused on the mathematics of discrete structures, such as networks, and has been published in leading journals in the field.