Dr Lara Francesca Scofano
About Dr Lara Francesca Scofano
Dr. Lara Francesca Scofano is a Senior Scientist II at Sixfold Bioscience, specializing in RNA delivery systems and the development of Mergo®, a programmable RNA tag.
Dr Lara Francesca Scofano at Sixfold Bioscience
Dr. Lara Francesca Scofano serves as Senior Scientist II at Sixfold Bioscience. Her primary role involves developing and commercializing patented drug delivery systems specifically tailored for RNA therapeutics. Dr. Scofano is part of the research team working on innovative solutions to improve the efficiency and precision of RNA delivery systems, which are integral in the field of gene silencing and expression.
Dr Lara Francesca Scofano's Education and Expertise
Dr. Lara Francesca Scofano holds a PhD, underscoring her extensive background in scientific research. She specializes in RNA delivery systems, bringing a wealth of knowledge to her role at Sixfold Bioscience. Her expertise is crucial in advancing the capabilities of RNA-based therapeutics, a burgeoning area with significant implications for genetic medicine.
Commercialization of Patented Drug Delivery Systems
In her capacity as a Senior Scientist II, Dr. Lara Francesca Scofano contributes to the commercialization of patented drug delivery systems at Sixfold Bioscience. These systems are designed for RNA therapeutics, which aim to precisely target gene expression and silencing. Her work ensures that these cutting-edge technologies are translated from the laboratory to clinical and commercial applications.
Development of Mergo® for Gene Silencing and Expression
Dr. Lara Francesca Scofano is actively involved in the development of Mergo®, a programmable RNA tag developed by Sixfold Bioscience. Mergo® is designed for gene silencing and gene expression applications, offering a highly specialized tool for genetic research and therapy. Her contributions are pivotal in refining and optimizing Mergo® for its intended uses.
Utilizing Machine Learning for Mergo® Variants
Dr. Lara Francesca Scofano leverages machine learning to create a diverse library of over 100,000 Mergo® variants. This approach enhances the ability to generate and test multiple versions of Mergo®, accelerating the development process. Her work includes high-throughput generation and precise testing, which are critical for achieving robust and efficient RNA delivery systems.