Biography:

María del Valle Varo García is a researcher specialized in quantum computing and field theories. She has expertise in machine learning techniques applied to technological sectors and high-energy physics. She has also worked on the design of encoding algorithms in quantum computers and the implementation of artificial intelligence techniques in qubits. In September 2023, she joined the Comillas community to begin her teaching work in statistics and machine learning, while continuing her research at the ITT.

She earned her Bachelor's degree in Physics from Imperial College London in 2017, where she presented her undergraduate thesis on Complexity and Networks. She completed internships at the University of Oxford, the European Space Agency-ESA, and Apple. She continued her studies at the IFT in Madrid in 2019, where she obtained a Master's degree in Theoretical Physics and Cosmology. In 2022, she earned her Ph.D. in Applied Mathematics with honors from UC3M, and her doctoral thesis contributed to solving a decades-old mathematical problem applied to physics.

For a year, she held the position of artificial intelligence researcher at Tecnalia, participating in projects for renewable energy sector companies, specifically for offshore wind farms and solar panels, as part of the European project SerendiPV. Subsequently, she conducted a postdoctoral stay at the German particle accelerator, Deutsches Elektronen Synchrotron (DESY), based in Hamburg, focusing on machine learning in quantum computers.

She has published articles in high-impact journals with collaborators from UC3M, CSIC, DESY, and CERN.