My work at NIST focuses on improving biomanufacturing processes for therapeutics like monoclonal antibodies and cell-based therapies.
Nuclear Magnetic Resonance (NMR) is used to discern protein structures, map binding dynamics between drugs and targets, and measure small molecules in biological samples to probe their metabolism. Traditional NMR is powerful and can provide a wealth of data to drive optimization of biomanufacturing processes - but it is difficult to apply as an on-line technique.
Low-field benchtop NMR (LF-NMR) is a recent development that can overcome these difficulties. I am developing automation and software resources for LF-NMR to enable continuous bioprocess monitoring, and optimizing these processes using machine learning.
This work supports novel reference materials like the NISTCHO cell line by characterizing previously unmeasured dynamics, and it has direct applications to accelerating development and biomanufacturing of next-generation therapeutics.
National Research Council RAP Fellowship (2024)
2019 Engineering Biology Research Consortium Summer Internship (2019)
Linton and June Bishop Fellowship (2019)
2017 Metabolomics Society Early Career Member Network Award (2017)
2015 ILS Scholar of Excellence (2015)
NSF REU, University of Georgia (2014)
NSF REU, NC State University (2013)