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Data-driven infection biology

The Data-Driven Infection Biology Network is a collaborative initiative that brings together Infect@LU researchers interested in integrating bioinformatics and AI with experimental and clinical infection biology. Our goal is to foster opportunities for knowledge sharing, brainstorming, training, and collaboration among clinicians, group leaders, and trainees.

Current members are engaged in diverse research areas, including sepsis mechanisms, pandemic preparedness, immune system regulation, protein bioinformatics, microbiology, molecular evolution, and respiratory biology. By combining computational tools with experimental and clinical expertise, the network aims to tackle pressing challenges in infection biology and develop innovative, data-driven solutions.

We welcome new members with interests or expertise in any aspect of data-driven infection biology, from clinical and experimental research to computational approaches.

Network leaders

Gemma Atkinson. Foto.

Gemma Atkinson, Associate Professor

 

Camila Consigliou. Foto.

Camila Consiglio, Assistant Professor
 

 

Last updated: 23 Jan 2025