Salt Lake City, UT, United States of America

Summer Walid Elias

USPTO Granted Patents = 1 

Average Co-Inventor Count = 26.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Summer Walid Elias in Machine Learning and Perturbation Data

Introduction

Summer Walid Elias is an innovative inventor based in Salt Lake City, UT. He has made significant contributions to the field of machine learning, particularly in the synthesis of perturbation data. His work focuses on generating graphical user interfaces that visualize perturbation heatmaps, which are essential for understanding complex biological systems.

Latest Patents

Summer holds a patent for a groundbreaking 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 filters, aligns, and aggregates embeddings to create a genome-wide perturbation database, enabling real-time generation of perturbation heatmaps. The systems can process a variety of perturbation images and generate well-level image embeddings, which are then aligned and aggregated to produce perturbation-level image embeddings for comparative analysis.

Career Highlights

Summer is currently employed at Recursion Pharmaceuticals, Inc., where he applies his expertise in machine learning to advance the company's research initiatives. His innovative approach has the potential to revolutionize how perturbation data is utilized in biological research and drug discovery.

Collaborations

Some of Summer's notable coworkers include Marta Marie Fay and August Orvis Allen. Their collaborative efforts contribute to the dynamic research environment at Recursion Pharmaceuticals, fostering innovation and discovery.

Conclusion

Summer Walid Elias is a prominent inventor whose work in machine learning and perturbation data synthesis is paving the way for advancements in biological research. His contributions are not only significant in their technical merit but also in their potential impact on the future of medicine and biotechnology.

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