About Me


I am the Director of Artificial Intelligence at Galatea Bio and a Research Affiliate at Stanford University. My work spans multiple fields including Artificial Intelligence, Population Genetics, Precision Medicine, Bioinformatics, Computer Vision, and MLOps. I am, or have been, affiliated with Galatea Bio, Stanford University, Purdue University, Polytechnic University of Catalonia, Qualcomm, HP Labs, Visual Engineering.




Selected Publications


Artificial Intelligence

Compressive Meta-Learning

D. Mas Montserrat, D. Bonet, M. Perera, X. Giro-i-Nieto, A. G. Ioannidis

KDD; 2025; [url]
Feature Shift Localization Network

M. Barrabes*, D. Mas Montserrat*, K. Dev, A. G. Ioannidis

ICML; 2025; [url]
HyperFast: Instant Classification for Tabular Data

D. Bonet, D. Mas Montserrat, X. Giro-i-Nieto, A. G. Ioannidis

AAAI; 2024; (NeurIPS TRL Workshop spotlight; 2023); [url]
Adversarial Learning for Feature Shift Detection and Correction

M. Barrabes*, D. Mas Montserrat*, M. Geleta, X. Giro-i-Nieto, A. G. Ioannidis

NeurIPS; 2023; [url]
Adversarial Attacks on Genotype Sequences

D. Mas Montserrat, A. G. Ioannidis

ICASSP; 2023; [url]

Precision Medicine

Polygenic risk score portability for common diseases across genetically diverse populations

S Moreno-Grau, ..., D. Mas Montserrat, ..., Carlos D. Bustamante

Human Genomics; 2024; [url]
Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations

D. Bonet, M. Levine, D. Mas Montserrat, A. G. Ioannidis

PSB; 2023; [url]
Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy

V. N Parikh, ..., D. Mas Montserrat, ..., E. A Ashley

Nature Communications; 2022; [url]

Population Genetics

Neural ADMIXTURE for rapid population clustering

A. Dominguez Mantes, D. Mas Montserrat, C. D. Bustamante, X. Giro-i-Nieto, A. G. Ioannidis

Nature Computational Science; 2023; [url]
SALAI-Net: species-agnostic local ancestry inference network

B. Oriol Sabat, D. Mas Montserrat, X. Giro-i-Nieto, A. G. Ioannidis

Bioinformatics; 2022; [url]
Archetypal Analysis for population genetics

J. Gimbernat-Mayol, A. Dominguez Mantes, C. D. Bustamante, D. Mas Montserrat, A. G. Ioannidis

PLOS Comp Bio; 2022; [url]

Computer Vision

Handbook Of Digital Face Manipulation And Detection: From DeepFakes to Morphing Attacks, Ch. 11

..., D. Mas Montserrat, ..., E. Delp

Springer; ACVPR Book Series; 2022; [url]
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; 2020; [url]
Deepfakes Detection with Automatic Face Weighting

D. Mas Montserrat, et. al

CVPR Workshop; 2020; [url]



Patents


Genomic sequence dataset generation

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

WO2022056438A1; PCT/US2021/050182; [url]
Local-ancestry inference with machine learning model

D. Mas Montserrat, A. Ioannidis, A. Kumar, C. Bustamante, R. Rastogi, H. Hilmarsson

WO2021211840A1; PCT/US2021/027478; [url]
Multi-view iterative matching pose estimation

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

WO2020204898A1; PCT/US2019/025059; [url]
Selecting training symbols for symbol recognition

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

WO2019152017A1; PCT/US2018/016211; [url]



Education


Stanford University
School of Medicine Postdoctoral Training

Stanford, CA; 2020 - 2023

Purdue University
Doctor of Philosophy in Electrical and Computer Engineering

West Lafayette, IN; 2016 - 2020

Polytechnic University of Catalonia
Bachelor of Science in Telecommunications Engineering

Barcelona, Spain; 2011 - 2015