Summary
Rico Zhu is a Member of Technical Staff at xAI with eight years of hands-on experience building and researching ML systems, currently focused on multimodal pretraining and post-training reasoning. A Duke CS & Math undergraduate researcher, he has contributed to theoretical work on induction heads in Transformers and practical ML for high-energy physics at CERN, applying graph neural networks to real ATLAS data. Rico’s background spans both research and production: optimizing deep-learning inference at Tenstorrent, developing auto-graders and course infrastructure as a head TA, and publishing interpretable-ML and GNN work in KDD and AAAI. He combines strong mathematical foundations with systems-level engineering, and has a knack for turning theoretical insights into scalable model and pipeline improvements. Notably, his early work ported ML models onto distributed CERN compute and experimental AI hardware simulators, bridging cutting-edge research and deployment.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Mathematics and Computer Science, Bachelor of Science - BS Mathematics and Computer Science at Duke University
Telluride Association Summer Program (TASP)
Chinese, English, French