South San Francisco, CA, United States of America

Michael Taejong Kim


Average Co-Inventor Count = 5.3

ph-index = 3

Forward Citations = 58(Granted Patents)


Company Filing History:


Years Active: 2017-2019

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Michael Taejong Kim: Innovator in Mass Spectrometry

Introduction

Michael Taejong Kim is a notable inventor based in South San Francisco, CA. He has made significant contributions to the field of mass spectrometry, holding three patents that enhance the analysis of peptide mapping and protein impurities. His work is instrumental in advancing the capabilities of mass spectroscopic data analysis.

Latest Patents

Kim's latest patents include "Apparatuses and methods for annotated peptide mapping" and "Interactive analysis of mass spectrometry data." The first patent focuses on tools and methods that assist in generating annotated peptide maps from raw mass spectrometry data. This innovation aims to improve the accuracy and efficiency of peptide mapping. The second patent relates to graphical user-interactive displays for MS-based analysis of protein impurities. It provides a user-interactive display that simultaneously presents various spectra for a selected peptide, enhancing the analytical process.

Career Highlights

Michael Taejong Kim is associated with Protein Metrics Inc., where he applies his expertise in mass spectrometry. His work at the company has been pivotal in developing innovative solutions for protein analysis. His contributions have positioned him as a key figure in the field of analytical chemistry.

Collaborations

Kim collaborates with notable colleagues, including Christopher Becker and Marshall Bern. Their combined efforts contribute to the advancement of technologies in mass spectrometry and protein analysis.

Conclusion

Michael Taejong Kim's innovative work in mass spectrometry and his patents significantly impact the field of analytical chemistry. His contributions continue to enhance the understanding and analysis of complex biological data.

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