This inventor holds 3 USPTO granted patents. Top assignee: Lynceus, Sas. Active years: 2023-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2025
Title: Severin Limal: Innovator in Machine Learning for Bioproduction
Introduction
Severin Limal is a prominent inventor based in Paris, France. He has made significant contributions to the field of bioproduction through his innovative use of machine learning technologies. With a total of 3 patents, Limal is recognized for his advancements in quality control processes.
Latest Patents
One of Limal's latest patents focuses on machine learning-based quality control of a culture for bioproduction. This invention facilitates real-time quality control by utilizing machine learning to analyze process data from current production runs. The approach involves receiving real-time data for a set of parameters and making predictions based on a machine learning model trained on historical production data. Each model instance is uniquely associated with a specific culture day, allowing for tailored predictions and quality control recommendations. This innovative method enables various types of predictions and provides multiple recommendations based on the analysis.
Career Highlights
Severin Limal is currently associated with Lynceus, Sas, where he continues to develop cutting-edge solutions in bioproduction. His work has been instrumental in enhancing the efficiency and reliability of production processes through advanced technology.
Collaborations
Limal collaborates with Guglielmo Montone, contributing to the innovative projects at Lynceus, Sas. Their combined expertise fosters a dynamic environment for research and development in the field.
Conclusion
Severin Limal's contributions to machine learning and bioproduction exemplify the impact of innovation in modern technology. His work not only advances the field but also sets a precedent for future developments in quality control processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile