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.

Predictive Modeling of Single Cell Transcriptomic Dynamics with Dynamo

Published in In review, Nature Protocols, 2025

Co-first author work, in review at Nature Protocols.

Recommended citation: Zehua Zeng, Sichao Yu, Ke Ni (co-first authors), Yan Zhang, Ukyeon Shin, Cinlong Huang, Natalie Cao, Jonathan Weissman, Jianhua Xing, Xiaojie Qiu. (in review, Nature Protocols). Predictive Modeling of Single Cell Transcriptomic Dynamics with Dynamo.