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Paul Patrone (Fed)

Paul Patrone is a staff scientist in the Applied and Computational Mathematics division (ACMD) of ITL.   He received a B.A. from St. John's College in Annapolis, as well as an M.S. in Applied Mathematics and Ph.D. in physics from the University of Maryland, College Park.  Current research interests include uncertainty quantification for molecular dynamics simulations and coarse-graining techniques for condensed matter systems.

 

 

Publications

Monoclonal Antibodies as SARS-CoV-2 Serology Standards: Experimental Validation and Broader Implications for Correlates of Protection

Author(s)
Lili Wang, Paul Patrone, Anthony Kearsley, Jerilyn Izac, Adolfas Gaigalas, John Prostko, Hang Xie, Linhua Tian, Elzafir Elsheikh, Edward Kwee, Troy Kemp, Simon Jochum, Natalie Thornburg, Clifford McDonald, Adi Gundlapalli, Sheng Lin-Gibson
COVID-19 has highlighted the need for more accurate and reproducible measurements of humoral immunity, including antibody levels and neutralization potential
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Patents (2018-Present)

System And Method For Data Analysis In Quantitative PCR Measurements

NIST Inventors
Anthony J. Kearsley , Paul Patrone , Erica Romsos and Dr. Peter M. Vallone
In quantitative polymerase chain-reaction (qPCR) measurements, accurately subtracting background signals, quantifying the amount of DNA, and ensuring fidelity of data analysis and diagnostic tests is challenging. Such problems are especially acute for emerging / novel diseases that lack thoroughly

Serial Cytometry

NIST Inventors
Gregory A Cooksey , Paul Patrone and Anthony J. Kearsley
Flow cytometers can make thousands of single-cell measurements per second, but the limited ability to quantify uncertainty in individual measurements reduces their effectiveness for characterizing biomarker distributions, discriminating cell populations, and detecting rare events. To facilitate

Multiplexed Amplitude Modulation Fluorometry

NIST Inventors
Anthony J. Kearsley , Gregory A Cooksey and Paul Patrone
Improving accuracy of cytometers is challenging because optical configuration, flow control methods, and calibration issues make it difficult to characterize geometric factors associated with signal collection. State-of-the-art tools only collect a small solid angle of emitted light, so that minor
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Created October 9, 2019, Updated December 9, 2022