Chase R. Freschlin

The paper introduces OMEGA, a low-cost method for assembling large gene libraries from oligopools, achieving high sequence recovery and uniformity.

This paper introduces METL, a protein language model that integrates biophysical modeling with machine learning to predict protein properties and design functional variants.

This study evaluates how different neural network architectures extrapolate beyond training data in protein design, finding simpler models excel in local prediction while complex models explore broader sequence space.

This paper develops a statistical learning framework to infer protein fitness landscapes from laboratory evolution data and applies it to DHFR evolution to understand epistasis and design future proteins.

Genetic or HF-rTMS activation of B-RAF-MEK signaling promotes CST axon sprouting and functional regeneration after spinal cord injury.