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MSc Applied Machine Learning

Salvador

For Salvador, studying at Imperial is more than academic achievement — it’s the next step in a journey to apply engineering where it’s needed most. Salvador came to Imperial with a clear goal: to harness artificial intelligence and mechatronics to improve lives, particularly in the healthcare, mobility, and energy sectors. 

Salvador began his academic journey in mechatronics engineering at UNAM, Mexico’s top university and one of Latin America’s best. He went on to work across Mexico, the US, and Germany with industry leaders like Volkswagen and BMW, focusing on pre-series validation for plug-in hybrid and electric vehicles. 

Eager to deepen his technical skills and explore AI, he chose Imperial’s MSc in Applied Machine Learning. “It builds on my mechatronics background and lets me apply novel AI algorithms to hardware through hands-on lab work,” he says.  For his research project, Salvador is developing a model to estimate blood pressure without physical contact. “With signal processing and deep learning, we can detect features in radar signals that make the process more accurate and less invasive,” he explains.  

Outside the lab, Salvador found London to be as stimulating as the programme itself. “It’s a city that has everything,” he says. “Tech events, cultural diversity, and more. It’s a hub of innovation, diplomacy, fashion, and diversity.” 

Salvador’s admission to Imperial is among his proudest achievements, made possible through the Chevening Scholarship — an award offered by the UK Foreign, Commonwealth & Development Office to future global leaders. This opportunity marked a turning point in his career and also enabled him to take on leadership roles.

For Salvador, this is just the beginning. “My aim is to become a leading scientist in Mexico, fostering technological advancement in AI and helping to support and uplift vulnerable communities.”