Tomás is a Research Assistant for the Leverhulme project 'System Services in 100% Renewable Grids' and a PhD candidate in the Department of Electrical and Electronic Engineering at Imperial College London. His research aims to establish a novel operation paradigm for power systems dominated by Inverter-Based Resources (IBRs).

In 2022, Tomás completed his MSc in Electrical Engineering with a minor in Power Systems at Universidad Técnica Federico Santa María (UTFSM) in Valparaíso, Chile. His master's research topic, titled 'Multi-agent Deep Reinforcement Learning for Efficient Multi-Timescale Bidding of a Hybrid Power Plant in Day-Ahead and Real-Time Markets', resulted in a publication in the Applied Energy journal and a conference article presented at the IEEE–PES General Meeting.

Prior to joining Imperial, Tomás primarily worked as a Consultant Engineer at the Advanced Center for Electrical and Electronic Engineering (AC3E) and the Department of Electrical Engineering at UTFSM. He assisted in the developement of reports for Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), Electricidade de Portugal, and the Chilean Ministry of Energy, particularly in the context of the elaboration of the national accelerated decarbonisation plan.