Shivangi Awasthi

Employment

• Merck Associate Principal Scientist
  2018 - Present

Education

• University of Maryland PhD
  2013 - 2018
• University of Mississippi School of Pharmacy MS
  2011 - 2013
• University of Delhi Bachelor of Pharmacy
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Updated Recommendations for the Bioanalysis of Antibody–Drug Conjugates (ADC) from the ADC working group of the AAPS Bioanalytical Community
  The AAPS Journal 2026 DOI: 10.1208/s12248-026-01268-1
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• Proteomic Discovery and Validation of Novel Fluid Biomarkers for Improved Patient Selection and Prediction of Clinical Outcomes in Alzheimer’s Disease Patient Cohorts
  Proteomes 2022 DOI: 10.3390/proteomes10030026
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• Proteomic Discovery and Validation of Novel Fluid Biomarkers for Improved Patient Selection and Prediction of Clinical Outcomes in Alzheimer’s Disease Patient Cohorts
  2022 DOI: 10.20944/preprints202206.0302.v1
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• Quantitative mass spectrometry to interrogate proteomic heterogeneity in metastatic lung adenocarcinoma and validate a novel somatic mutation CDK12-G879V
  Molecular & Cellular Proteomics 2019
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• Quantitative mass spectrometry to interrogate proteomic heterogeneity in metastatic lung adenocarcinoma and validate a novel somatic mutation CDK12-G879V
  Molecular and Cellular Proteomics 2019 DOI: 10.1074/mcp.RA118.001266
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• Quantitative mass spectrometry to interrogate proteomic heterogeneity in metastatic lung adenocarcinoma and validate a novel somatic mutation CDK12-G879V
  2019
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• Quantitative targeted proteomic analysis of potential markers of tyrosine kinase inhibitor (TKI) sensitivity in EGFR mutated lung adenocarcinoma
  Journal of proteomics 2018
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• Quantitative targeted proteomic analysis of potential markers of tyrosine kinase inhibitor (TKI) sensitivity in EGFR mutated lung adenocarcinoma
  Journal of Proteomics 2018 DOI: 10.1016/j.jprot.2018.04.005
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• Dataset describing the development, optimization and application of SRM/MRM based targeted proteomics strategy for quantification of potential biomarkers of EGFR TKI sensitivity
  Data in Brief 2018 DOI: 10.1016/j.dib.2018.04.086
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• Dataset describing the development, optimization and application of SRM/MRM based targeted proteomics strategy for quantification of potential biomarkers of EGFR TKI sensitivity
  Data in brief 2018
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