Hamburg, Germany

Nicolas Fay

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: The Innovations of Nicolas Fay: A Glimpse into His Contributions

Introduction: Nicolas Fay is an innovative inventor based in Hamburg, Germany. He has made significant strides in the field of experimental data analysis, leading to a noteworthy patent that addresses the challenges of interfering effects in data interpretation. His work exemplifies the intersection of technology and practical application, showcasing how inventions can enhance research efficiency.

Latest Patents: Fay's notable patent is titled "Method for detecting the impacts of interfering effects on experimental data." This invention provides a mechanism for identifying the influence of unwanted factors, such as auto-fluorescence and sample deterioration, on experimental data. The method assesses whether the data meets specific criteria concerning the threshold indicative of these interfering effects, thereby facilitating more accurate data interpretation.

Career Highlights: Currently, Nicolas Fay is associated with Evotec AG, a leading biotech company known for its innovative research and development in drug discovery. His tenure at Evotec has allowed him to contribute to ground-breaking projects that tackle complex problems in the life sciences sector.

Collaborations: Throughout his career, Fay has collaborated with other esteemed professionals, including Christian Eggeling and Kaupo Palo. This collaborative spirit not only enhances his work but also fosters a dynamic environment of innovation where ideas can flourish.

Conclusion: Nicolas Fay's contributions to the field of data analysis through his patented method reflect the crucial role that inventors play in advancing scientific understanding. His work at Evotec AG, along with his collaborations, continues to pave the way for deeper insights into experimental data, demonstrating the power of innovation in overcoming challenges in research.

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