James Heuschkel

This study develops a machine learning framework to engineer enzymes by integrating sparse data with evolutionary and structural information, achieving improvements in catalytic performance, yield, and stability.

This paper applies directed evolution to codon space, improving recombinant expression of 74% of tested therapeutics without altering protein sequence.

This paper introduces SynCodonLM, a codon language model that enforces synonymous codon constraints, improving performance on DNA-level biology benchmarks.