Company Filing History:
Years Active: 2025
Title: Sarah Jordan Devore: Innovator in Machine Learning and Perturbation Data Synthesis
Introduction
Sarah Jordan Devore is a prominent inventor based in Salt Lake City, UT (US). She has made significant contributions to the field of machine learning, particularly in the synthesis of perturbation data. Her innovative work has the potential to enhance the understanding of cellular responses to various perturbations.
Latest Patents
Sarah 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, ultimately generating perturbation comparisons.
Career Highlights
Sarah 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 drug discovery and development processes.
Collaborations
Throughout her career, Sarah has collaborated with notable colleagues, including Marta Marie Fay and August Orvis Allen. These collaborations have fostered a dynamic environment for innovation and research within her field.
Conclusion
Sarah Jordan Devore is a trailblazer in the realm of machine learning and perturbation data synthesis. Her contributions are paving the way for advancements in understanding cellular behavior and enhancing drug discovery processes.