Juan Luis Fernández-Martínez received a PhD degree in mining engineering from the University of Oviedo (Spain, 1994). He previously trained as a petroleum engineer in France (Ècole Nationale du Pètrole et des Moteurs, Paris, 1988) and England (Imperial College, Royal School of Mines, London, 1989). After years of working as a computer software engineer in France, he joined the Department of Mathematics at the University of Oviedo in 1994 and where he has held the position of University Professor in Applied Mathematics since 2018. He is also a professor by the French CNU since 2013. During 2008-2010 he was a research professor at UC Berkeley-Lawrence Berkeley Lab and at Stanford University.

His areas of expertise include inverse problems, uncertainty analysis of complex systems, attribute selection and dimension reduction techniques, cooperative global optimization methods, with diverse applications in fields as varied as energy, oil exploration, biometrics, biomedicine and finance.

In biomedicine, he is interested in simplifying genome complexity for medical diagnosis and drug design in diseases for which there is no cure (www.deepbioinsights.com). In the world of AI, he is interested in the design of expert decision support systems (expert robots). In the world of finance he has been a promoter and co-founder of StockFink, where he is also a Scientific Advisor.

He has published more than 220 articles in international journals and has directed and co-directed more than a dozen doctoral theses and numerous final degree and master's theses on these topics, both nationally and internationally. He holds several US patents on uncertainty analysis in complex and high dimensional systems.