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.

Inferring Single-Cell RNA Kinetics from Various Biological Priors

Published in BioRxiv, 2023

Co-authored paper.

Recommended citation: Yanshuo Chen, Zhengmian Hu, Ke Ni, Site Feng, Wei Chen, Heng Huang. Inferring Single-Cell RNA Kinetics from Various Biological Priors. BioRxiv.