Advancing biotechnology through engineering and AI.
We build high-throughput experimental systems to generate large datasets used to train machine learning models that predict sequence–function relationships.
We develop genetically encoded fluorescent protein biosensors that enable real-time visualization of dynamic biochemical events in live cells.
We engineer microfluidic and robotic platforms to automate high-throughput screening of protein libraries, significantly reducing the cost and time of directed evolution.