Michelle Chan

Michelle Chan serves as an Assistant Professor in the Department of Molecular Biology and the Lewis-Sigler Institute for Integrative Genomics at Princeton University. Her research program integrates computational and experimental approaches to study mammalian development and cell fate decisions, positioning her at the forefront of integrative genomics.

Her laboratory investigates two primary research thrusts: (1) mapping differentiation pathways during mammalian development in both natural and stem cell-derived contexts, and (2) deciphering molecular factors that govern cellular decisions between self-renewal and differentiation. These investigations leverage CRISPR-based lineage tracing, high-throughput genomic profiling, and sophisticated computational modeling to generate comprehensive developmental maps.

Analysis of her 2024 publications reveals a cohesive research trajectory centered on advancing genomic technologies for developmental biology. Key contributions include novel computational methods for lineage tracing data, embryoid models for axial patterning, and enhancements to prime editing systems—demonstrating consistent innovation at the intersection of genome engineering and developmental dynamics.

Professor Chan's scientific achievements have been recognized with the prestigious NIH Director's New Innovator Award, which supports exceptionally creative early-career investigators pursuing transformative research.

• NIH Director's New Innovator Award

As a faculty member, she actively mentors graduate students through Princeton's Quantitative and Computational Biology (QCB) Graduate Program and participates in the NIH NHGRI Training Program. Her research program receives substantial funding from the NIH New Innovator Award, enabling high-impact investigations into genomic technologies with potential therapeutic applications.

The Chan Research Lab operates as a dynamic interdisciplinary hub within Princeton's Lewis-Sigler Institute, bringing together molecular biologists, computational scientists, and bioengineers to develop and apply cutting-edge genomic tools for understanding developmental processes.