Chang Lan is a software engineer at Google DeepMind (formerly the Google Brain team), where he works on large-scale systems for foundation models.
Prior to Google, he worked at ByteDance as a research scientist.
He received a Ph.D from UC Berkeley (2018) and a bachelor's degree from Tsinghua (2013) in computer science.
Brainformers: Trading Simplicity for Efficiency
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V Le, Claire Cui, James Laudon, and Jeff Dean
ICML 2023
E2: A Framework for NFV Applications
Shoumik Palkar*, Chang Lan*, Sangjin Han, Keon Jang, Aurojit Panda, Sylvia Ratnasamy, Luigi Rizzo, and Scott Shenker
SOSP 2015