Company Filing History:
Years Active: 2024-2025
Title: Seyhmus Guler: Innovator in Machine Learning and Biology
Introduction
Seyhmus Guler is a prominent inventor based in Salt Lake City, UT (US). He has made significant contributions to the field of machine learning and its applications in biology. With a total of 3 patents, Guler is recognized for his innovative approaches to synthesizing and analyzing biological data.
Latest Patents
Guler's latest patents include groundbreaking work in utilizing machine learning models to synthesize perturbation data. One of his notable patents focuses on generating perturbation heatmap graphical user interfaces. This patent describes systems and methods for embedding perturbation data via a machine learning model. It details how the systems can receive a variety of perturbation images and generate well-level image embeddings, which are then aligned and aggregated to create a comprehensive genome-wide perturbation database.
Another significant patent involves using machine learning and digital embedding processes to create digital maps of biology. This invention aims to evaluate the efficacy of these maps through user interfaces. The systems described in this patent receive perturbation data and generate embeddings that can be aligned and aggregated for further analysis.
Career Highlights
Seyhmus Guler is currently employed at Recursion Pharmaceuticals, Inc., where he continues to push the boundaries of innovation in the intersection of technology and biology. His work is instrumental in advancing the understanding of biological systems through computational methods.
Collaborations
Guler collaborates with talented individuals in his field, including Conor Austin Forsman Tillinghast and James Douglas Jensen. These collaborations enhance the innovative potential of his projects and contribute to the success of their shared goals.
Conclusion
Seyhmus Guler is a leading inventor whose work in machine learning and biology is paving the way for new advancements in the field. His patents reflect a commitment to innovation and a deep understanding of complex biological systems.