Adalberto Claudio Quiros

PhD student

I’m a second year PhD student advised by Ke Yuan and Roderick Murray-Smith at the Univeristy of Glasgow, Computing Science department.

I’m interested in generative models, Bayesian nonparametrics, representation learning and interpretability of latent variable models. Additionally, my current research focuses on applying generative models to histopathology and how these models can help to better understand cancer tissue.

On a personal level, I’m interested in U.S., U.K. and E.U. politics, electoral/polling data and their intersection with machine learning.

Before starting the PhD, I worked in the semiconductor industry as a SoC Design engineer in the FPGA field at Altera Coporation and Intel Corporation in San Jose, CA. I received an M.S. in Electrical Engineering at the IIT in Chicago, and M.S. and B.S. degrees in Telecommunications Engineering at ETSIT-UPM in Madrid.

Papers

Learning a low dimensional manifold of real cancer tissue with PathologyGAN

Pathology GAN: Learning deep representations of cancer tissue

Projects

Pathology-GAN - Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'

Learning-a-low-dimensional-manifold-of-realcancer-tissue - Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Learning a low dimensional manifold of real cancer tissue with PathologyGAN 2020'.