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Artificial Intelligence Scientist
I am currently a Lecturer (Assistant Professor) in Computer Science at Royal Holloway, University of London. Previously I was a Research Associate at the University of Oxford. I believe that AI systems can help us achieve global peace, justice, dignity, and good standards of living. I also believe that they pose certain risks to these very same goals. I currently study and develop interpretable and neuro-symbolic AI systems, as I believe that they are a promising approach towards ensuring that the impact of AI is positive.
University of Oxford
D.Phil in Computer Science, Artificial Intelligence
January 1, 2016 – January 1, 2020
University of Oxford
Master of Science (MSc), Computer Science
January 1, 2015 – January 1, 2016
University of Oxford
B.Phil in Philosophy, Philosophy of Science
January 1, 2014 – January 1, 2015
University of Oxford
Master's degree, Philosophy of Physics
January 1, 2013 – January 1, 2014
Universitat Autònoma de Barcelona
Grado en Física + Matemáticas, Mención en Física Fundamental, Estadística y Economatemática
January 1, 2008 – January 1, 2013
Universidad Francisco de Vitoria
Programa de Liderazgo Universitario, Liberal arts
January 1, 2008 – January 1, 2013
Royal Holloway, University of London
Lecturer
August 1, 2024 – Present
On-site
University of Oxford
Research Associate
October 1, 2019 – September 1, 2024
Oxfordshire, England, United Kingdom
Department of Computer Science, University of Oxford
Class Tutor and Lecturer
September 1, 2016 – April 1, 2018
DESY
Summer Student
July 1, 2012 – September 1, 2012
Cultural Fit Analysis
The candidate's background is heavily academic, with a focus on research and teaching. While this demonstrates intellectual rigor, there is no direct evidence of experience in collaborative software development environments, agile methodologies, or product-focused engineering teams, which are common in industry roles. The target role is 'Backend Engineer', but the candidate's experience is primarily in academia, which may present a cultural gap.
Soft Skills & Operational Fit
The candidate's background as a lecturer and research associate suggests strong communication, analytical thinking, and autonomous work capabilities. However, direct operational experience in a typical software development lifecycle is not evident from the provided data.