Fernando Estévez Casado

Research Associate at Imperial College London — ML & Robotics

You can download a PDF version of my CV here:

📄 Download CV

Professional Experience

Research Associate
Imperial College London – Personal Robotics Lab
London, UK | Mar 2023 – Present
  • Developing user-centred machine learning methods for assistive robotics.
  • Building robot learning systems for bimanual manipulation and autonomous wheelchair navigation.
  • Coordinating lab activities and mentoring master’s students.
  • Collaborating with multidisciplinary teams on UKRI-funded projects.
Visiting Lecturer
University of Santiago de Compostela – Polytechnic School of Engineering
Lugo, Spain | Sep 2022 – Mar 2023
  • Delivered over 180 hours of lectures and labs in programming, machine learning, and expert systems.
  • Supervised two undergraduate theses in robotics and AI, both awarded top marks.
Predoctoral Researcher
University of Santiago de Compostela – CiTIUS
Santiago de Compostela, Spain | Oct 2018 – Nov 2022
  • Conducted research on federated and continual learning for distributed AI systems.
  • Applied methods to robotic navigation and human activity recognition.
  • Completed a 4-month research visit to Imperial College London, producing results published in a leading robotics conference.
  • Delivered 200+ hours of ML and AI teaching with excellent student feedback.
Internships
  • University of A Coruña / Situm Technologies (2018) – Contributed to smartphone-based indoor positioning.
  • Bahia Software (2017) – Developed a data management platform for fire prevention programmes.
  • University of Santiago de Compostela – CiTIUS (2016) – Built an Android framework for biometric data collection.

Education

PhD in Computer Science (ML)
University of Santiago de Compostela
Santiago de Compostela, Spain | 2018 – 2022
  • Research focused on continual federated learning for distributed AI systems. Graduated with honours (cum laude).
MSc in Artificial Intelligence Research
Menéndez Pelayo International University
Santander / Santiago, Spain | 2017 – 2018
  • Specialised in Machine Learning. GPA: 9.6/10.
BSc in Computer Science
University of Santiago de Compostela
Santiago de Compostela, Spain | 2013 – 2017
  • Best Academic Record and Best Thesis Award. GPA: 8.7/10.

Awards and Honours

  • 2024 RSS Pioneer, Robotics: Science and Systems (RSS) conference
  • 2022: Best Science Communicator, Three Minute Thesis (3MT) – USC
  • 2020: Best Presentation Award, European Conference on Artificial Intelligence (ECAI)