Dr. Nicolas Ruffini is a postdoctoral fellow at the Leibniz Institute for Resilience Research with a solid background in bioinformatics and biology. His research integrates computational approaches and machine learning to unravel complex biological data across various omics technologies.

Current Research Focus

• Omics and Method Development: Focused on advancing omics methodologies to study healthy aging, aiming to identify biomarkers and therapeutic targets that mitigate the impacts of aging on cognitive functions. Currently working on the AeGain cohort in RG Tüscher in which modalities from scRNA-seq to methylation are combined delve into the intricate patterns underlying healthy aging.
• Data Integration in Neurodegeneration: During his Ph.D., Dr. Ruffini developed network-based approaches to synthesize multi-omics data, enhancing our understanding of neurodegenerative processes. He continues to contribute to this field while expanding his focus.
• Stress Resilience: Utilizing machine learning to predict stressor responses from proteomic data. His work involves creating network-based models that provide biological insights from machine learning outcomes, which aids in developing interventions that bolster psychological resilience.
• Innovative Tools for Neuroscience: Creator of ViNe-Seg, a deep learning-assisted tool designed for segmenting neuronal somata in calcium imaging experiments, facilitating enhanced data acquisition and analysis in live neuronal networks.

Positions held 

Since 11/2022   
Postdoctoral Fellow, RG Tüscher, Focus on Resilient Aging Research, Leibniz Institute for Resilience Research, Mainz, Germany.

Education

2019 - 2023   
Ph.D. in Biology (focus on Neurodegeneration), Johannes Gutenberg-University, Mainz, Germany.

2017 - 2019   
Master of Science in Applied Bioinformatics, Johannes Gutenberg-University, Mainz, Germany.

2011 - 2016   
Bachelor of Science in Biology, Johannes Gutenberg-University, Mainz, Germany.