Improved medical image-analysis pipelines for detecting cancer staining in biopsy samples, integrating a StarDist neural-network detector into three production services at Boston Cell Standards. Accelerated image analysis 1.4× and built a slide-confidence scoring and auto-analysis feature spanning ML, database, API, and UI.
Built data pipelines, analytics, and machine learning workflows for eye tracking technology at NeuroAgent AI.
Extended a codon analysis software to analyze mRNA stability, secondary structure, and higher order levels of codon usage at Codomax; also conducted various cell culture wet lab experiments including colony PCR, mini-prep, and maxi-prep procedures. Developed bioinformatics algorithms integrating mRNA secondary structure analysis with experimental stress codon data from CHO and Pichia cell culture studies; implemented an ML-driven protein expression analysis system and interactive web interfaces to optimize recombinant protein expression through data-driven codon engineering.
Worked with a STEM teacher to provide free engineering lessons to middle school students as a part of a STEM summer camp (Mass Academy's Junior Academy).
Created and taught lessons on CAD and cyphers to middle school students as a part of a computer science summer camp.