Jason W. Rocks

Dual-encoder contrastive learning accelerates enzyme discovery

This paper introduces Horizyn-1, a deep learning framework for enzyme discovery that improves performance with larger datasets and validates its effectiveness through experimental testing.

Ultra-high throughput mapping of genetic design space

The paper introduces CLASSIC, a platform that maps sequence-to-function relationships in synthetic biology by combining long- and short-read sequencing to analyze gene circuits.

A universal niche geometry governs the response of ecosystems to environmental perturbations

The paper introduces a theoretical framework to calculate ecosystem responses to environmental perturbations using geometric transformations in consumer-resource models.

Engineering synthetic phosphorylation signaling networks in human cells

This paper engineers synthetic phosphorylation signaling networks in human cells to enable dynamic sensing and suppression of activated T cells.