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Sophia has successfully defended her dissertation. Congratulations, Dr. Hu!
Sophia Hu has successfully defended her Ph.D. dissertation, “Decoding Cell State Transitions Through the Lens of the Cell Cycle.” During her Ph.D. in the Xing Lab and the Joint CMU–Pitt Computational Biology Program, Sophia developed computational approaches to study cell-state transition dynamics from single-cell data, with a particular focus on how diverse biological processes are […]
Sophia’s Work on EMT Two Path Published in Communication Biology
Single cell snapshot analyses under proper representation reveal that epithelial-mesenchymal transition couples at G1 and G2/M Check the full text on LINK Most approaches first require projecting high-dimensional data onto a low-dimensional representation; however, this can distort the dynamics of the system. Consider a swarm of ants crawling along the surface of an intact soda […]
GraphVelo Published in Nature Communications
Our graphvelo paper just appeared online (Link) This work is a continuation of our efforts to place single-cell data analyses under rigorous mathematical and theoretical physics foundations, which I stress to be important. It shows how one infers velocities from a subset of genes with reliable velocity estimation based on that the data points form […]
Sophia advances to PhD candidacy
She successfully defended her dissertation proposal. All committee members were deeply impressed on what she has achieved and interested in the fundamental question about the coupling between cell cycle and cell fate in three different contexts she will tackle.
Dr Xing gave an invited talk at the 2023 SMB meeting
This year marks the 50th anniversary of Society for Mathematical Biology.
Former postdoc Xiaojun Tian being promoted to Tenured Associate Professor at ASU
Congratulations, Dr Tian! The first tenured faculty from the lab!
We received a new NSF grant from the program of emerging mathematics in biology
Title: Mathematical analyses of multidimensional single cell transcriptional vector fields With the emergence of a new field of reconstructing large scale dynamical equations from single cell genomics data, the funded research is to address a new challenge to expand mathematical tools for downstream analyses of the dynamical equations and apply tools developed in other contexts […]