Company Filing History:
Years Active: 2018
Title: Jacquelyn Lillis: Innovator in High-Resolution Melt Curve Classification
Introduction
Jacquelyn Lillis is a notable inventor based in Cicero, NY (US). She has made significant contributions to the field of genetic analysis through her innovative work. Her expertise lies in the classification of high-resolution melt (HRM) curves, which are essential for understanding genetic variations.
Latest Patents
Jacquelyn Lillis holds a patent for a method and system for classifying high-resolution melt curves using neural networks. The patent, titled "High-resolution melt curve classification using neural networks," focuses on classifying HRM curves by genotype. The curves are represented by a mathematical function with varying coefficient values, showcasing her advanced understanding of both genetics and computational methods.
Career Highlights
Lillis is affiliated with Syracuse University, where she contributes to research and development in her field. Her work has implications for genetic research and diagnostics, making her a valuable asset to the academic community.
Collaborations
Jacquelyn has collaborated with notable colleagues, including Jonathan David Adelman and William Ryon McKay. These partnerships enhance her research and expand the impact of her innovations.
Conclusion
Jacquelyn Lillis is a pioneering inventor whose work in high-resolution melt curve classification is advancing the field of genetics. Her contributions are significant, and her collaborations further amplify her impact in the scientific community.