Marco Carbullido

Deep Learning Engineer | Computational Biologist | Software Developer

I am a developer and researcher with dual Bachelor’s degrees in Neuroscience and Computer Science from Tulane University. My work focuses on artificial intelligence, protein science, software engineering and bioinformatics.

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Work

Ultrastructural Analysis of Mitochondria and Neurons in the Ventral Nerve Cord

Built transformer-based instance segmentation pipelines for petabyte-scale SEM volumes to analyze neuronal and mitochondrial structures in the Macleod Lab.

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Protein Epitope Prediction

Developed a bioinformatics pipeline integrating AlphaFold2 and transformer models for CD4+ T-cell epitope prediction in the Gragert Lab.

Improving risk stratification in kidney transplant outcomes by modeling antigen processing to inform prediction of T-cell epitopes derived from mismatched HLA proteins

Journal of Clinical and Translational Science. 2025, 9(s1):114-115.

DOI: 10.1017/cts.2024.995

Role: Co-Author

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Multimodal Lab Automation

Automated data curation and deployed multimodal deep learning models for large-scale animal behavior experiments at Tulane University.

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The Open Insulin Project

Lab intern role in engineering fermentation workflows and open-source protocols to produce low-cost insulin at Counter Culture Labs.

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Serch.io

Serch.io is an AI-powered job search and ranking platform that analyzes both jobs and resumes using modern large language models, then systematically computes how well every job fits each user. The system is distinguished by its deep use of AI for extraction, comparison, and explanation—not just as a search filter, but as the core "matching intelligence" throughout the experience.

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