Aubin Fleiss

This paper develops bioluminescent plants that detect viral infections through spectral changes, using a protease-responsive circuit triggered by viral proteases.

This paper introduces a method to make autoluminescent reporters robust to metabolic changes by using a reference luciferase variant to quantify gene expression independently of metabolism.

The paper develops autoluminescent plants to non-invasively image jasmonic and salicylic acid activities in response to pests and pathogens.

The paper describes a no-code lab management platform using Airtable for integrated sample, procedure, and data management with custom automations.

The paper characterizes fitness landscapes of fluorescent proteins and finds that flat landscapes are less suitable for machine learning-based protein design.

The paper introduces CONTAIN, an automated RT-qPCR COVID-19 testing system based on a shipping container, achieving 2400 tests/day using open-source robotics and validated with synthetic and patient samples.

This paper introduces a CRISPR/Cas9 method to generate precise, markerless translocations in yeast, enabling the study of chromosomal rearrangements' phenotypic effects independent of base substitutions.