This inventor holds 8 USPTO granted patents and 9 published patent applications. Top assignee: Recursion Pharmaceuticals, Inc.. Active years: 2024-2026.
Company Filing History:
Years Active: 2024-2026
Title: The Innovative Contributions of Safiye Celik
Introduction
Safiye Celik is a prominent inventor based in Sudbury, MA (US), known for his significant contributions to the field of machine learning and biotechnology. With a total of 8 patents to his name, Celik has been at the forefront of developing innovative solutions that enhance the understanding and application of perturbation data in biological research.
Latest Patents
Celik's latest patents showcase his expertise in utilizing machine learning models to synthesize perturbation data. One notable patent focuses on generating perturbation heatmap graphical user interfaces. This invention relates to systems and methods for embedding perturbation data via a machine learning model, which allows for the real-time generation of genome-wide perturbation databases. The systems can receive multiple perturbation images and generate well-level image embeddings, aligning and aggregating them to create comprehensive perturbation-level image embeddings.
Another significant patent involves the use of masked autoencoder generative models to extract microscopy representation autoencoder embeddings. This invention trains generative machine learning models to generate embeddings from phenomic images. The systems utilize advanced techniques, such as momentum-tracking optimizers and Fourier transformation losses, to improve the accuracy of the generative models during training.
Career Highlights
Safiye Celik is currently employed at Recursion Pharmaceuticals, Inc., where he continues to push the boundaries of innovation in the pharmaceutical industry. His work focuses on integrating machine learning with biological data to facilitate groundbreaking research and development.
Collaborations
Celik collaborates with talented individuals in his field, including Berton Allen Earnshaw and Conor Austin Forsman Tillinghast. These collaborations enhance the innovative potential of his projects and contribute to the advancement of technology in biotechnology.
Conclusion
Safiye Celik's contributions to machine learning and biotechnology are noteworthy, as evidenced by his patents and ongoing work at Recursion Pharmaceuticals, Inc. His innovative approach continues to shape the future of research in these fields.