I'm a researcher focusing on deep learning applications in population genetics and precision health, working with Prof. Alexander Ioannidis at Stanford University and UC Santa Cruz Genomics Institute.
Previously, I also collaborated with ML4SCI on quantum machine learning for high-energy physics with Prof. Sergei Gleyzer, and worked with Prof. Jordi Cortadella at UPC on developing a framework for automated chip floorplanning.
I completed my Bachelor's in Data Science and Engineering at the Polytechnic University of Catalonia (UPC), graduating as valedictorian and participating in exchanges at ETH Zurich and Stanford University.
Publications
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snputils: A Python Library for Processing Diverse Genomes
D. Bonet*, M. Comajoan Cara*, M. Barrabés*, ..., A. Ioannidis (*equal contribution)
Poster presented at the American Society of Human Genetics (ASHG) Annual Meeting, 2024, Denver, Colorado, USA. Website; GitHub. -
PopGenAdapt: Semi-Supervised Domain Adaptation for Genotype-to-Phenotype Prediction in Underrepresented Populations
M. Comajoan Cara, D. Mas Montserrat, A. Ioannidis
Paper and oral presentation at the Pacific Symposium on Biocomputing (PSB), 2024, Puako, Hawaii, USA. Paper; bioRxiv; GitHub. -
Quantum Vision Transformers for Quark-Gluon Classification
M. Comajoan Cara, ..., S. Gleyzer
Published in Axioms, 2024; 13(5):323. Paper; arXiv; GitHub. -
$\mathbb{Z}_2 \times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
Z. Dong, M. Comajoan Cara, ..., S. Gleyzer
Published in Axioms, 2024; 13(3):188. Paper; arXiv. -
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics
E. Unlu, M. Comajoan Cara, ..., S. Gleyzer
Published in Axioms, 2024; 13(3):187. Paper; arXiv. -
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
R. Forestano, M. Comajoan Cara, ..., S. Gleyzer
Published in Axioms, 2024; 13(3):160. Paper; arXiv.
We can only see a short distance ahead, but we can see plenty there that needs to be done.