Francisco Miguel Pérez Canales
Biography
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I build AI systems that survive contact with reality: large-scale data, evolving ground truth, and the gap between a notebook that works once and a traceable platform that runs every day. End-to-end: research, infra, backend, and the frontend that puts it in front of users. Ten years across applied ML and computational science, now continuing in my PhD at Universidad de Sevilla. I own the full research-to-production pipeline: framing the problem, modelling the data, training, evaluation, deployment, monitoring, authentication, the API + web + agent layers, and the React / Next.js UI on top. Recent highlights
Stack
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Profile
| Institution | US |
| Position | Bioinformatician, MLOps Engineer and AI Engineer |
| Home page | https://github.com/frapercan |
| Contact email | fmpercan@upo.es |
| ORCID |
BCB Hub
| BCB Committee | Not a member |
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Research
Research topics
Artificial IntelligenceMachine Learning in BiologyBioinformatics Software and ToolsLarge language modelsFunctional annotationFunction predictionBiological DatabasesHigh-performance ComputingContainers ComputingWeb-serviceWorkflow managersProteomics
View all (2 more)
Deep Learning in BiologyCloud Computing
Research lines
None
Publications 4 entries
- FANTASIA suite: a reproducible and configurable framework for embedding-based functional annotation of proteins Article · 27 Jun 2026
- Computational Identification of Potential Shape-Shifting Proteins from Structures Book / chapter · 1 Nov 2025
- FANTASIA leverages language models to decode the functional dark proteome across the animal tree of life Article · 14 Aug 2025
- Leveraging Natural Language Processing models to decode the dark proteome across the Animal Tree of Life Preprint · 29 Feb 2024
