Summary
Ruochen Xu is a Principal Scientist with a decade of experience advancing summarization, multilingual and multimodal dialogue systems, currently leading multimodal LLM research at Om AI. He earned a PhD from CMU’s Language Technologies Institute, where his thesis tackled cross-language and cross-style mappings under limited supervision—an expertise that informs his work on robust, data-efficient models. Prior roles at Microsoft and CMU saw him push state-of-the-art approaches in task-oriented dialogue and text summarization across languages and modalities. Based in Zhejiang, he combines deep academic rigor with product-focused research, often translating theoretical insights into practical multimodal capabilities. An understated strength is his focus on limited-supervision learning, enabling strong performance where labeled data is scarce.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (BE) Electrical and Electronics Engineering, Bachelor of Engineering (BE) Electrical and Electronics Engineering at Tsinghua University
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Carnegie Mellon University
Electrical and Systems Engineering, Electrical and Systems Engineering at Washington University in St. Louis (WUSTL)