About Me


I am a Postdoctoral Scholar at Stanford University. My research focuses on Artificial Intelligence applied to Biomedicine and Healthcare. I hold a PhD in Electrical and Computer Engineering from Purdue University and a Bachelor's degree in Telecommunications Engineering at Polytechnic University of Catalonia. Previously, I worked at Purdue University, Stanford University, Qualcomm, HP Labs, and Visual Engineering.




Education


Purdue University
Doctor of Philosophy in Electrical and Computer Engineering

West Lafayette, IN

2016 - 2020

Polytechnic University of Catalonia
Bachelor of Science (Highest Honors) in Audiovisual Systems in Telecommunications Engineering

Barcelona, Spain

2011 - 2015




Patents


Multi-view iterative matching pose estimation

D. Mas Montserrat, Q. Lin, J. P. Allebach, E. J. Delp

WO Patent WO2020204898A1

2020-10-08; PCT/US2019/025059

[url]

Selecting training symbols for symbol recognition

Q. Lin, D. Mas Montserrat, J. P. Allebach, E. J. Delp

WO Patent WO2019152017A1

2019-08-08; PCT/US2018/016211

[url]




Selected Publications


Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images

D. Joon Ho, D. Mas Montserrat, C. Fu, P. Salama, K. Dunn, E. Delp

Journal of Medical Imaging

August 2020

[url]

LAI-Net: Local-Ancestry Inference With Neural Networks

D. Mas Montserrat, C. Bustamante, A. Ioannidis

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

May 2020 - Barcelona, Spain

[url] [arxiv]

XGMix: Local-Ancestry Inference with Stacked XGBoost

A. Kumar, D. Mas Montserrat, C. Bustamante, A. Ioannidis

International Conference on Learning Representations Workshops (ICLR Workshops) (Best Paper Award)

April 2020 - Addis Ababa, Ethiopia

[biorxiv]

Class-Conditional VAE-GAN for Local-Ancestry Simulation

D. Mas Montserrat, C. Bustamante, A. Ioannidis

Machine Learning for Computational Biology at NeurIPS (MLCB/NeurIPS)

December 2019 - Vancouver, Canada

[arxiv] [code]