Jonathan D. Posner

This paper develops a machine learning approach to semi-quantitatively classify HIV-1 nucleic acids using image analysis of isothermal amplification reactions in microfluidic chips, achieving high accuracy across a wide concentration range.

This paper develops a paper-based isothermal amplification method for rapid nucleic acid quantification using fluorescent nucleation site analysis, achieving results in under 20 minutes.