Mateo Espinosa Zarlenga
Dr Mateo Espinosa Zarlenga
Interests
My current research interests roughly lie in the general field of AI Safety, with a particular focus on the intersection of interpretable/explainable AI, representation learning, and human-in-the-loop AI. More specifically, I am interested in (1) the design of methods that can construct explanations for a model’s predictions in terms of high-level “concepts” and (2) the broad applications that these methods may have in scenarios where experts can interact with the models at test time (e.g., model steering, monitoring, test-time feedback, concept interventions). For an up-to-date (ish) list of my work, please refer to my Google Scholar profile.
If you would like to collaborate or chat, feel free to email me. I am always happy to connect and to discuss potential collaborations, supervisions, or research ideas.
Biography
I am a Junior Research Fellow (JRF) in Computer Science at Trinity College, Oxford. In addition to my role at Trinity, I hold research positions at the University of Oxford (Associate Research Fellow) and the University of Cambridge (Affiliated Lecturer and Visiting Researcher). I am also a member of the European Laboratory for Learning and Intelligent Systems (ELLIS), and a co-organiser of the Interpretable Deep Learning Seminar Series (feel free to reach out if you would like to present your work in this series!). Prior to Oxford, I completed my PhD in AI interpretability at the University of Cambridge, where I was a Gates Cambridge Scholar.