PNNL

Fanny Chu is a data scientist on the Chem-Bio Informatics team, as well as the Chemical and Biological Signatures group, within the National Security Directorate at Pacific Northwest National Laboratory (PNNL). Her research interests include the development of instrumental methods and data analytic capabilities to advance proteomics and metabolomics for chemical forensics and biodefense missions. She leads multidisciplinary teams to address challenges at the intersection of bioanalytical chemistry, forensic science, and data science to advance detection and characterization of novel and emerging chemical and biological signatures.

Chu has designed workflows for source organism characterization of unknown proteomics samples and has demonstrated the feasibility of human contaminant peptide marker detection in non-human samples for identification of sample preparers. Chu leads efforts to develop algorithms for quantitatively assessing sample similarity where mass spectrometry data is often sparse and limited. Her research has been published in Scientific Reports and the Journal of Proteome Research. She has presented at the American Society for Mass Spectrometry, the American Academy of Forensic Sciences, and the Pittsburgh Conference on Analytical Chemistry and Applied Spectroscopy.

• Bioinformatics
• Forensic Science
• Gas Chromatography-Mass Spectrometry
• Liquid Chromatography-Mass Spectrometry
• Mass Spectrometry
• Metabolomics
• Proteomics
• Chemical Forensics

• PhD in chemistry, Michigan State University
• MS in forensic science, Michigan State University
• BS in chemistry, State University of New York at Binghamton

• American Society for Mass Spectrometry
• Associate Member, American Academy of Forensic Sciences