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I'm interested in Machine Learning and Computer Vision (CV) regarding new technologies or applications. Currently,
I'm working on explainable AI in image recognition. I'm interested in foundational models, as well as
Large Language Models (LLMs), and the overall state of the art such as the transformer family of methods, and most
recently MAMBA.
I recently finished my PhD on Interpretable Image Recognition, under the
supervision of Ronan Sicre,
Stéphane Ayache and
Yannis Avrithis. The
supporting material for my defense can be found in my thesis slides.
I intend to continue researching in the area and shed light on the black-box behavior of deep learning models, enabling
the design of better architectures, and ensuring fairness and accountability in decision-making.
Research
About
I'm 30 years old, passionate about music, history and astronomy. During my undergraduate I grew passion towards programming, and since then I've been working on Computer Vision and Deep Learning. I used to be good at jogging until I took a mountain to the (left) knee. I love spending time looking at the sky, languages and listening to music; specially if I can reproduce it when playing my guitar or bass. Whenever I have the means to, I also build scale models of planes of the WWII era. Ever since the second part of 2021 I picked up an appreciation to Asian cuisine, specially Chinese spicy dishes from the Guizhou region.