This inventor holds 1 USPTO granted patent. Top assignee: Leland Stanford Junior University. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations of Zhenpeng Zhou in Machine Learning and Mass Spectrometry
Introduction
Zhenpeng Zhou is an innovative inventor based in Stanford, CA. He has made significant contributions to the field of machine learning and mass spectrometry. His work focuses on analyzing human sweat samples to determine various characteristics without the need for extensive chemical analysis.
Latest Patents
Zhou holds a patent titled "Group classification based on machine learning analysis of mass spectrometry data from sweat." This patent utilizes machine learning techniques to analyze mass spectrometry spectra from human sweat samples. The analysis aims to identify characteristics such as age, ethnicity, gender, drug use, and disease state directly from the m/z data. This approach simplifies the process by avoiding the complexities of full chemical analysis.
Career Highlights
Zhenpeng Zhou is affiliated with Leland Stanford Junior University, where he conducts research and develops innovative solutions in his field. His work has the potential to revolutionize how we understand and analyze human biological samples.
Collaborations
Zhou collaborates with Richard Neil Zare, a prominent figure in the field, enhancing the impact of his research through shared expertise and knowledge.
Conclusion
Zhenpeng Zhou's contributions to machine learning and mass spectrometry represent a significant advancement in the analysis of human sweat samples. His innovative approach has the potential to transform the way we assess various human characteristics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile