Paola Bisignano
About Paola Bisignano
Paola Bisignano is a Research Scientist with expertise in the biophysics of membrane proteins, currently serving as a Research Associate Professor at Vanderbilt University. She has held various research positions, including postdoctoral roles at UCSF and Icahn School of Medicine, and has a strong background in molecular dynamics and drug discovery.
Current Position at Vanderbilt University
Paola Bisignano serves as a Research Associate Professor at Vanderbilt University since 2023. In this role, she engages in advanced research focusing on the biophysics of membrane proteins and their regulation by lipids and small molecules. Her current position allows her to contribute to the academic community and collaborate with other researchers in the field.
Previous Experience at Lawrence Livermore National Laboratory
Prior to her current role, Paola Bisignano worked as a Research Scientist at Lawrence Livermore National Laboratory from 2020 to 2023. During her tenure, she applied her expertise in high-throughput molecular dynamics and Markov State Modeling, contributing to significant research initiatives.
Postdoctoral Research at UCSF
Paola Bisignano was a Postdoctoral Researcher at the University of California, San Francisco (UCSF) from 2015 to 2020. In this position, she focused on the biophysics of membrane proteins, further developing her research skills and knowledge in the field.
Educational Background in Biological Sciences
Paola Bisignano completed her Bachelor’s degree in Biological Science at the University of Genoa from 2001 to 2005. She further pursued her education by obtaining a Master’s degree in Molecular and Cellular Biology from 2006 to 2008. Additionally, she earned a Doctor of Philosophy (PhD) in Drug Discovery and Development from 2010 to 2013, which laid the foundation for her research career.
Research Focus and Techniques
Paola Bisignano specializes in the biophysics of membrane proteins, particularly their conformational changes upon ligand binding. She employs advanced techniques such as umbrella sampling and weighted ensemble methods in her research. Her expertise in high-throughput molecular dynamics and Markov State Modeling enhances her ability to investigate complex biological systems.