Summary
Manuel Martin is a Senior Deep Learning Scientist at Repsol Technology Lab with 11+ years blending academic rigor and industry delivery across telecoms, energy and aerospace. He holds a PhD in Machine Learning (Cum Laude) and applies generative and deep learning methods to traffic analysis, CFD and energy forecasting, transferring research prototypes into operational solutions. His background spans hands-on software engineering, IT consulting and PMP-certified project leadership, enabling him to bridge complex modelling with stakeholder-driven deployment. As a professor and guest lecturer he continues to mentor the next generation while leading applied research at MIOTI and Repsol. Notably, his trajectory began in space and telecom project management, giving him uncommon systems-level perspective when tackling ML problems in industrial contexts.
11 years of coding experience
36 years of employment as a software developer
Master of Science - MS, Computer Science-Machine Learning, Master of Science - MS, Computer Science-Machine Learning at Universidad Aut贸noma de Madrid
Doctorate-PhD, Machine Learning applied to Telco Networks, Cum Laude (Premio Extraordinario de Doctorado Universidad de Valladolid), Doctorate-PhD, Machine Learning applied to Telco Networks, Cum Laude (Premio Extraordinario de Doctorado Universidad de Valladolid) at Universidad de Valladolid
Master of Science - MS, Telecommunications Engineering-Control Systems, Master of Science - MS, Telecommunications Engineering-Control Systems at Universidad Polit茅cnica de Madrid
English, Spanish, French