Ke Ni

Ke Ni

he/him

Applied Scientist at Amazon. The Joint CMU–Pitt Ph.D. Program in Computational Biology (CPCB). I work on multimodal models, LLMs, computer vision, and AI for science.

GraphVelo allows for accurate inference of multimodal velocities and molecular mechanisms for single cells

Published in Nature Communications, 2025

Co-authored paper published in Nature Communications.

Recommended citation: Yuhao Chen, Yan Zhang, Jiaqi Gan, Ke Ni, Ming Chen, Ivet Bahar, Jianhua Xing. (2025). GraphVelo allows for accurate inference of multimodal velocities and molecular mechanisms for single cells. Nature Communications.