Iñaki Amatria Barral

Passionate computer scientist and open source enthusiast

Personal details

• Gender: male
• Pronouns: he/him
• GitHub: amatria, inaki-amatria
• LinkedIn: Iñaki Amatria Barral

Education

• (2021-2022) M.S. in high-performance computing @ Universidade da Coruña (A Coruña, Spain)
• (2017-2021) B.S. in computer science @ Universidade da Coruña (A Coruña, Spain)

Training

• (2023) International HPC summer school @ Georgia Institute of Technology (Atlanta, USA)

Work experience

• (2023-current) Compiler engineer @ Codee (A Coruña, Spain)

  developed LLVM IR analysis and transformation passes, extended Clang and LLVM Flang frontends, and contributed upstream to open-source projects such as LLVM, Bear, and tree-sitter

• (2021-2023) Research assistant @ Universidade da Coruña (A Coruña, Spain)

  sharpened my skills in high-performance computing for bioinformatics and published the results of my research in two JCR D1 journals

• (2019-2021) Research support assistant @ Universidade da Coruña (A Coruña, Spain)

  conducted a successful research project in the fields of bioinformatics and high-performance computing and recorded results within a paper

• (2019-2020) Software engineer @ Nomasystems SL (A Coruña, Spain)

  developed and deployed a quality assurance pipeline for an iOS app used by millions around the globe

Publications

• Hybrid MPI/OpenMP implementation of RIblast for transcriptome-scale lncRNA-RNA interaction prediction

  Iñaki Amatria-Barral, Jorge González-Domínguez and Juan Touriño, Protocols on RNA-RNA and RNA-DNA interactions, Springer Nature (In press)

• Parallel construction of RNA databases for extensive lncRNA-RNA interaction prediction

  Iñaki Amatria-Barral, Jorge González-Domínguez and Juan Touriño, in Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 555-558, March 2023

• PATO: Genome-wide prediction of lncRNA-DNA triple helices

  Iñaki Amatria-Barral, Jorge González-Domínguez and Juan Touriño, Bioinformatics, 39(3):btad134, March 2023

• pRIblast: A highly efficient parallel application for comprehensive lncRNA-RNA interaction prediction

  Iñaki Amatria-Barral, Jorge González-Domínguez and Juan Touriño, Future Generation Computer Systems, 138:270-279, January 2023

Open source contributions

• Maintainer: PATO, and pRIblast
• Contributor: forgottenserver, biopython, LLVM, Bear, and tree-sitter-fortran