Ricardo Henriques
Principal Investigator
Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolRicardo Henriques is a Principal Investigator and group leader with 16+ years bridging cell biology, optical physics and computational methods to push the limits of live-cell super-resolution imaging. He builds interdisciplinary labs and tools that tackle questions classical microscopy cannot resolve—developing fluorescent probes, high-speed cell-friendly SR techniques and AI-driven modelling to study viral entry, uncoating and membrane remodelling. Formerly leading groups at UCL, the Francis Crick Institute and Instituto Gulbenkian de Ciência, he now heads an AI-driven Optical Biology lab in Lisbon and holds an honorary professorship at UCL. Equally at home writing Python for imaging workflows and contributing backend components to prominent open-source AI tooling (e.g., Langflow), he blends wet-lab innovation with production-grade software engineering. This combination of microscopy hardware/software expertise and biological curiosity enables practical methods with broad applicability across cell biology.
16 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) - University of Lisbon Medical School, Biology, Physics, Doctor of Philosophy (PhD) - University of Lisbon Medical School, Biology, Physics at University of Lisbon
English, Portuguese, Spanish, French
Github Skills (9)
backend10
large-language-models10
back-end-development10
generative-ai10
python10
langchain10
huggingface9
api9
apim9
Programming languages (7)
Github contributions (5)
langflow-ai/langflow
Feb 2024 - Feb 2024
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Role in this project:
Backend Developer
Backend DeveloperContributions:1 review, 4 PRs, 2 comments in 12 days
Contributions summary:Ricardo primarily contributed to the backend functionality of the Langflow project. Their work included adding new components like `HuggingFaceInferenceAPIEmbeddingsComponent` and `LiteLLMComponent`, enhancing the system's capabilities by integrating with external services for embeddings and LLMs. They also updated existing components, such as the `QdrantComponent`, to improve functionality. Furthermore, they refactored code, renaming `LiteLLMComponent` and removing unused elements for cleaner codebase.
aireact-flowchatgptlarge-language-modelsgenerative-ai
HenriquesLab/folder2md4llms
Jul 2025 - Jul 2026
Combine files in a folder structure into a single text file suitable for use by LLMs, inspired by gpt-repository-loader
Contributions:1 release, 5 PRs, 84 pushes in 1 year
gptllm
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