Yihan Lin LabPeking University
Research
We quantify gene-regulatory mechanisms at single-cell resolution in development, disease, and immunity, and build synthetic-biology tools for precise perturbation, control, and cellular design.
We integrate live-cell imaging, single-cell omics, and computational modeling to understand how TF activity, transcriptional bursting, epigenetic regulation, and regulatory networks generate dynamic gene expression in individual cells.
We study heterogeneity, heritable state memory, and fate transitions in stem, immune, and cancer cells, identifying regulators that explain and control functional differences among cells.
We combine single-cell and spatial multi-omics with algorithms to read how each cell arrived at its current state — which regulators were activated along the way and which programs persisted across generations — aiming to make lineage reconstruction without physical tracing routine.
We use machine learning, deep learning, and high-throughput experiments to model complex biological systems and advance mammalian directed evolution, synthetic gene circuits, and predictable cell-control technologies.
