Gaia Ceddia

Postdoctoral Researcher @ Barcelona Supercomputing Center

About Gaia Ceddia

Gaia Ceddia is a Postdoctoral Researcher at the Barcelona Supercomputing Center, specializing in network biology. She previously completed her PhD at Politecnico di Milano and has a background in Biomedical and Clinical Engineering from Sapienza Università di Roma.

Work at Barcelona Supercomputing Center

Gaia Ceddia has been employed as a Postdoctoral Researcher at the Barcelona Supercomputing Center since 2021. In this role, she focuses on advancing computational methods in network biology. Her research aims to enhance the understanding of complex biological networks through innovative computational approaches.

Previous Experience at Politecnico di Milano

Prior to her current position, Gaia Ceddia worked at Politecnico di Milano as a PhD candidate from 2017 to 2021. During her four years there, she engaged in extensive research that contributed to her expertise in computational biology and network analysis.

Previous Role at University of Rome 'La Sapienza'

In 2016, Gaia Ceddia served as a Chemical Laboratory Assistant at the University of Rome 'La Sapienza' for a duration of five months. This role provided her with foundational laboratory experience that complements her academic background in engineering and biology.

Education and Expertise

Gaia Ceddia completed her Doctor of Philosophy (PhD) at Politecnico di Milano, graduating Cum Laude in 2021. She also holds a degree in Biomedical Engineering from Sapienza Università di Roma, where she achieved a score of 110/110. Additionally, she studied Clinical Engineering at the same institution from 2010 to 2014. Her educational background underpins her research in network biology.

Research Contributions

Gaia Ceddia has developed innovative computational approaches for network inference, link prediction, and network feature extraction in network biology. Her work has yielded significant results in case studies, addressing key biological questions and enhancing the understanding of complex networks in biological research.

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