Our Vision
Decoding sequence-function relationships across biological systems
Biological function is encoded in sequence, but the rules governing that relationship are often hidden.
Our laboratory uncovers these rules by systematically perturbing biological systems and measuring their functional consequences at scale. By combining large-scale experiments with machine learning and quantitative modeling, we identify the principles that govern biological behavior and use them to design new functions. Our goal is to transform biology from a descriptive science into a predictive engineering discipline capable of creating programmable proteins, viral systems, and cellular behaviors.
Measuring Biological Function at Scale
Single cell RNA/ATAC seq
Cell fitness
Sort-seq
Barcoded Transcripts
Understanding sequence–function relationships requires measuring biological function across millions of sequence variants. We develop high-throughput experimental platforms that quantify diverse aspects of biological behavior, from protein activity and molecular sensing to cellular fitness, gene expression, and global cell state. By combining pooled genetic perturbations with scalable functional readouts, we generate rich sequence–function landscapes that reveal how mutations reshape biological systems. Rather than relying on a single experimental readout, we develop diverse high-throughput measurement platforms that capture complementary aspects of biological function. Together, these measurements provide a multidimensional view of how sequence variation reshapes proteins, cells, and biological systems.
