Yorktown Heights, NY, United States of America

Peicheng Du


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Location History:

  • Montvale, NJ (US) (2013)
  • Yorktown Heights, NY (US) (2012 - 2014)

Company Filing History:


Years Active: 2012-2014

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Innovations of Peicheng Du in Liquid Chromatography-Mass Spectrometry

Introduction

Peicheng Du is a notable inventor based in Yorktown Heights, NY (US). He has made significant contributions to the field of liquid chromatography-mass spectrometry (LC-MS), holding a total of five patents. His work focuses on solving complex problems in the alignment of multiple LC-MS runs, which is crucial for accurate data comparison.

Latest Patents

One of Peicheng Du's latest patents addresses the challenge of aligning multiple liquid chromatography-mass spectrometry runs to a common reference time frame. This innovation facilitates the comparison among LC-MS runs by solving a sparse system of linear equations. The method optimally stretches or compresses local retention times to achieve maximal similarity among the multiple runs. Additionally, the alignment of multiple LC-MS runs can be performed simultaneously, enhancing data efficiency through the use of a sparse solver. A method for quality control in retention time alignment is also included in this patent.

Career Highlights

Peicheng Du is currently employed at International Business Machines Corporation (IBM), where he continues to advance his research and innovations in analytical chemistry. His work has had a significant impact on the efficiency and accuracy of mass spectrometry techniques.

Collaborations

Peicheng collaborates with Frank Suits, a fellow researcher, to further enhance the capabilities and applications of their innovations in the field.

Conclusion

Peicheng Du's contributions to liquid chromatography-mass spectrometry demonstrate his expertise and commitment to advancing scientific research. His innovative solutions to complex problems have the potential to greatly improve data analysis in various applications.

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