Data Scientist
Data Scientist


Andy Lin is a data scientist at Pacific Northwest National Laboratory (PNNL). His research focuses on developing new computational methods for analyzing and assessing the confidence of proteomics-based and metabolomics-based mass spectrometry data. He also focuses on applying mass spectrometry-based proteomics and metabolomics methods to the field of forensics. He originally joined PNNL as a Linus Pauling Distinguished Postdoctoral Fellow. Andy obtained his PhD from the Department of Genome Sciences at the University of Washington in 2021 and his BS from the University of Michigan in 2013.

Research Interest

  • Bioinformatics
  • Proteomics
  • Metabolomics
  • Biomedical sciences
  • Computational systems biology
  • Data analytics
  • Machine learning


  • PhD in Genome Sciences, University of Washington
  • BS in Cell Molecular Biology and Life Science Informatics, University of Michigan


Lin, A., C.M. Torres, E.C. Hobbs, J. Bardhan, S.B. Aley, C.T. Spencer, K.L. Taylor, and T. Chiang. 2024. “Computational and Systems Biology Advances to Enable Bioagent Agnostic Signatures.” Health Security.

Lin, A., B.L. Deatherage Kaiser, J.R. Hutchison, J.A. Bilmes, and W.S. Noble. 2023. “MS1Connect: a mass spectrometry run similarity measure”. Bioinformatics.

Lin, A, D. See, W.E. Fondrie, U. Keich, and W.S. Noble. 2024. “Target-decoy false discovery rate estimation using Crema”. Proteomics.