About me
I am pursuing doctoral studies at the Electrical Engineering and Computer Science (EECS) Department at MIT, under the supervision of Prof. Antonio Torralba. My research interests are primarily focused on interpretability and generative AI. Check out my publications!
Before embarking on my PhD journey, I completed undergraduate studies in Mathematics at the University of Vienna and The Autonomous University of Barcelona. Following this, I gained industry exposure as an AI Engineer at Twenty Billion Neurons, which was subsequently acquired by Qualcomm. Furthering my academic pursuits, I completed a Master of Science (MSc) degree in Computer Science from the University of Oxford and had the opportunity to contribute as a research intern at the Torr Vision Group.
In addition to my academic and professional commitments, I actively participate in the academic community by serving as a reviewer for a number of esteemed conferences and journals, including ICCV (2021, 2023), CVPR (2022, 2023), ICLR (2022), NeurIPS (2021), TPAMI, and IJCV.
News
2023
- May: Our paper “Erasing Concepts from Diffusion Models” has been chosen for a spotlight presentation at the Machine Learning Advances Symposium.
2022
- July: Proud to have won the second place of the poster competition at the International Computer Vision Summer School .
- June: Our paper “Disentangling visual and written concepts in CLIP” got awarded an Oral (~4% acceptance rate) at CVPR 22’ in New Orleans.
Selected Publications
