Hi there, I’m Jorge!
(Pronounced the Portuguese way: ZHOR-zhe /ˈʒɔɾ.ʒɨ/)
I am a PhD student in Machine Learning at ETH Zurich, supervised by Prof. Julia Vogt (ETH) and Prof. Stephan Mandt (UC Irvine). My research lies at the intersection of generative models and clustering, with a particular focus on diffusion models across different modalities, and applications in healthcare.
I am currently a visiting student at the University of California, Irvine, working with Prof. Stephan Mandt’s group until the end of June.
Feel free to reach out to collaborate or exchange ideas! I am also open to internship opportunities.
I am a PhD student in Machine Learning at ETH Zurich, supervised by Prof. Julia Vogt (ETH) and Prof. Stephan Mandt (UC Irvine). My research lies at the intersection of generative models and clustering, with a particular focus on diffusion models across different modalities, and applications in healthcare.
I am currently a visiting student at the University of California, Irvine, working with Prof. Stephan Mandt’s group until the end of June.
Feel free to reach out to collaborate or exchange ideas! I am also open to internship opportunities.
Interests
Generatve AI
Diffusion Models
Clustering
ML for Healthcare
Selected Publications
(2026).
Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion.
In ICLR 2026 Workshop on Trustworthy Machine Unlearning (TTU), Oral.
(2026).
You Only Train Once: Differentiable Subset Selection for Omics Data.
In Transactions on Machine Learning Research.
(2025).
TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion.
In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2025.