Company Filing History:
Years Active: 2025
Title: Sara Marjean Moore: Innovator in Machine Learning and Perturbation Data Synthesis
Introduction
Sara Marjean Moore is a prominent inventor based in Boise, ID (US). She has made significant contributions to the field of machine learning, particularly in the synthesis of perturbation data. Her innovative work has led to the development of advanced graphical user interfaces that enhance the understanding of cellular perturbations.
Latest Patents
Sara holds a patent for her invention titled "Utilizing machine learning models to synthesize perturbation data to generate perturbation heatmap graphical user interfaces." This patent describes systems, non-transitory computer-readable media, and methods for embedding perturbation data via a machine learning model. The invention focuses on filtering, aligning, and aggregating embeddings to create a genome-wide perturbation database for real-time generation of perturbation heatmaps. The systems can receive a variety of perturbation images portraying cells from multiple wells, generate well-level image embeddings, and align these embeddings to produce aligned well-level image embeddings. Furthermore, the systems can aggregate these embeddings according to perturbations from various experiments to generate perturbation-level image embeddings, ultimately allowing for detailed perturbation comparisons.
Career Highlights
Sara is currently employed at Recursion Pharmaceuticals, Inc., where she applies her expertise in machine learning to advance the company's research initiatives. Her work is instrumental in developing innovative solutions that leverage data to improve understanding in the field of pharmaceuticals.
Collaborations
Sara collaborates with talented individuals such as Marta Marie Fay and August Orvis Allen, contributing to a dynamic and innovative work environment.
Conclusion
Sara Marjean Moore is a trailblazer in the realm of machine learning and perturbation data synthesis. Her contributions are paving the way for advancements in pharmaceutical research and data analysis.