- Home
- Faculty and Research
- Fernández García Eduardo
Biography
Eduardo Fernández is an Adjunct Lecturer in the Department of Quantitative Methods at CUNEF Universidad. Telecommunications engineer with over seven years of experience applying Machine Learning and advanced analytics in the financial and technology sectors. His work focuses on extracting value from data to support decision-making in complex and demanding environments. He combines his professional activity with university teaching in applied artificial intelligence. He is currently pursuing a PhD at Universidad Politécnica de Madrid, where he researches how to apply artificial intelligence techniques to improve and accelerate classical optimization methods with applications in the healthcare sector, with an expected completion date in the 2028-2029 academic year.
Education
Ph.D. in Electronic Systems Engineering, Universidad Politécnica de Madrid (ongoing, 2029 expected)
M.Sc. in Telecommunications Engineering, Universidad Politécnica de Madrid (2019)
B.Sc. in Telecommunications Technologies and Services Engineering, Universidad Politécnica de Madrid (2017)
Research Interests
Artificial intelligence and optimization
Professional Career
Data Scientist, Telefónica Tech, May 2024 - Present
Data Scientist, BBVA, September 2019 - May 2024