Chaoqi Wang is a Member of Technical Staff based in Mountain View with 11 years of experience focused on pretraining large language models and unified model families. Currently contributing to Grok and Grok Code at xAI, he brings hands-on expertise in pretraining pipelines and cross-model unification. His recent stint as a Research Scientist Intern at Meta involved LLM post-training and Multi-IFeval benchmarks, reflecting a strong blend of research and applied evaluation. Earlier work at Google DeepMind on model-based reinforcement learning under Kevin Murphy complements his LLM focus with robust probabilistic and RL foundations. He holds a PhD in Computer Science from the University of Chicago and an MS from the University of Toronto, signaling deep academic rigor alongside industry impact. Outside obvious credentials, he maintains a personal web portfolio (alecwangcq.github.io) that showcases his research trajectory and projects.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Toronto
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Chicago
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Zhejiang University
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