EPFL AI Center and AITHYRA Launch Cross-Disciplinary Research Collaboration
Date: 24.10.2025
The EPFL AI Center and AITHYRA have initiated a new research collaboration at the intersection of artificial intelligence, computational biology, biochemistry, and bioengineering. The focus is simple: combine algorithmic advances with experimental science to move ideas into tested solutions faster.
This partnership centers on cross-institutional work, streamlined knowledge exchange, and joint development of research that blends computational modeling, machine learning, and biochemical engineering. The goal is to build shared methods and datasets that make protein and small-molecule design more predictable and reproducible.
Leadership and Scope
As part of the collaboration, Bruno Correia, Associate Professor at EPFL's School of Engineering, has been appointed Global Adjunct Principal Investigator at AITHYRA. He will coordinate two joint projects between EPFL and AITHYRA:
- Project 1: Development of machine-learned representations for protein design and interaction prediction
- Project 2: Generative AI for small-molecule design
Correia's research at EPFL focuses on computational tools for protein design and immunoengineering, pairing new methods with experimental validation. His team's work links AI with molecular science to support advances in vaccine design, cancer immunotherapy, and computational drug discovery.
Why it matters for PR, Communications, and Research Teams
This collaboration offers a clear story arc for institutional communications: credible partners, concrete projects, and measurable scientific outcomes. It also sets a model for how AI groups and wet-lab teams can co-develop methods that translate from code to experiment without losing speed or rigor.
For research leadership, the emphasis on shared frameworks and learning-based representations signals practical value: faster iteration cycles, better interaction predictions, and stronger pathways for clinical and industrial partnerships. Expect updates that highlight reproducibility, benchmarks, and early validation data.
What's next
EPFL and AITHYRA will begin coordinated work on the two joint projects and share progress as results mature. For background on the EPFL AI Center and its initiatives, visit the EPFL AI Center.
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