Carlos D. Bustamante — accepted AI-conference papers

2026

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows

Daniel Mas Montserrat, Ray Verma, Míriam Barrabés, Francisco M. de la Vega, Carlos D. Bustamante, Alexander G. Ioannidis

AAAI 2026technical

Large-scale genomic workflows used in precision medicine can process datasets spanning tens to hundreds of gigabytes per sample, leading to high memory spikes, intensive disk I/O, and task failures due to out-of-memory errors. Simple static resource allocation methods struggle to handle the variabil

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2020

Lai-Net: Local-Ancestry Inference with Neural Networks

Daniel Mas Montserrat, Carlos D. Bustamante, Alexander G. Ioannidis

ICASSP 2020accepted

Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome. In both research and industry, LAI is emerging as a critical step in DNA sequence analysis with applications extending from polygenic risk scores (used to…

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