01 / Decode
Decoding molecular architecture during cell state transitions
Cell states emerge from the spatial organization and interactions of proteins, nucleic acids, and other biomolecules. To understand how cells interpret complex external signals through these spatial arrangements, we develop scalable multi-omics platforms that measure subcellular reorganization across combinatorial perturbations. By profiling how molecular neighborhoods change in response to defined inputs over time, we identify organizational principles that govern gene regulation and cellular decision making.
02 / Engineer
Engineering programmable cell functions with spatial precision
Cell engineering would benefit from understanding where disease signals emerge in tissues, when cells change state, and how therapeutic payloads reshape cellular environments. We engineer cells with synthetic biology toolkits, then use spatial profiling to decode how these engineered systems interact with their molecular neighborhoods. This approach accelerates therapeutic cell engineering while revealing fundamental principles of spatial organization.
03 / Technology
Developing next-generation spatiotemporal genomics technologies
Understanding how past signals and molecular events influence future cell states requires measuring gene regulation across both space and time. We develop molecular recording technologies that write cellular history into the cells, which can be read out alongside spatial multi-omics measurements. These approaches reveal how earlier molecular events bias cell fate decisions, ranging from development to disease progression, and identify causal molecular determinants of cell state transitions.
