Open to opportunities

Ignacio Garcia Labari

@ignaciogarcialabari

Message

Senior bioinformatician building biomedical knowledge graphs and LLM interfaces.

Argentina

Message

What I'm looking for

I’m looking for roles where I can build biomedical knowledge graphs and LLM-powered applications, bridge data pipelines to production interfaces, and solve hard problems with innovative machine learning for real-world impact.

I’m a Data Scientist and Senior Bioinformatician with an interdisciplinary background in biotechnology and bioinformatics, with 10+ years applying data analysis, process optimization, and data-driven decision making. At MateBio, I maintain and expand SPOKE, a large-scale biomedical knowledge graph, and I build Whyspr so researchers can query the graph in natural language—bridging data-integration pipelines to an end-to-end Next.js/TypeScript application. I also design LLM tool-calling logic and prompt engineering to drive accurate graph queries, running pipelines on AWS-hosted infrastructure.

My doctoral work in Computer Science focuses on machine learning for complex biological process modeling (thesis defense pending), and I’ve created ClaraFold, a Python tool using Transformers to predict RNA secondary structures with pseudoknots (GitHub: iglabari/ClaraFold). Earlier, as Laboratory Operations Manager and a scientist on large-scale sequencing and genomic analysis projects (including SARS-CoV-2 multiplex sequencing and long-read workflows), I led teams and shipped end-to-end scientific and computational outputs—so I value innovation that produces effective, real-world solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Bioinformatician

Current

Mate Bioservices

Sep 2025 - Present (10 months)

Worked on a large-scale biomedical knowledge graph (SPOKE) and its natural-language interface. Maintained Neo4j-backed knowledge graph pipelines in Python on AWS and built an end-to-end Next.js/TypeScript chat application with LLM tool-calling and prompt engineering.

Python Neo4j Cypher AWS Next.js TypeScript Prompt Engineering Git

Current

Ph.D. Student (Computer Science)

Current

CIFASIS/CONICET

Aug 2021 - Present (4 years 11 months)

Developed deep learning approaches for predictive modeling of complex biological data. Built ClaraFold in Python using Transformers for RNA secondary structure prediction with pseudoknots and optimized data representations for modeling.

Deep Learning predictive modeling Python Transformers

Laboratory Operations Manager

ArgenTag Corporation

Jul 2020 - Jun 2023 (2 years 11 months)

Led laboratory experiment management and biotechnology projects focused on third-generation sequencing and genomic data analysis. Developed and optimized long-read sequencing and molecular biology protocols and coordinated multidisciplinary teams across Argentina and the USA.

laboratory operations Long Read Sequencing Metagenomics Team Coordination Documentation

Scientist, Aquatic Biotechnology

Joint Laboratory of Aquatic Biotechnology

Aug 2019 - Aug 2021 (2 years)

Led SARS-CoV-2 multiplex sequencing work for epidemiological surveillance, publishing hundreds of complete genomes to the GISAID database. Contributed to scalable DNA barcoding research and co-authored publications including Scientific Reports.

SARS CoV 2 Genome Sequencing Multiplex Sequencing GISAID Submission DNA Barcoding Scalable Research

Intern / Thesis Student

INBIOAR

Aug 2011 - Jun 2018 (6 years 10 months)

Conducted R&D on plant extracts with herbicidal activity and worked on formulations using different adjuvants for potential future bioherbicides. Supported development efforts aimed at creating bioherbicide candidates.

Herbicidal Activity Research Formulation Development Bioherbicide R&D