Sean M. Halper

The paper develops a modular genetic toolkit for environmental Actinomycetes, enabling metabolic engineering and complex circuit design in Rhodococcus, Nocardia, and Gordonia.

The paper develops a machine learning model to predict DNA fragment synthesis success and identifies sequence determinants affecting synthesis outcomes.

The paper develops an algorithm to predict optimal enzyme expression levels for many-enzyme metabolic pathways using sparse datasets, demonstrating accuracy and noise tolerance.