Summary
Chenxi Whitehouse is a Research Scientist focused on foundational AI and GenAI, currently working on LLaMA-related research at Meta and holding a visiting researcher role at the University of Cambridge. With five years of experience across industry and academia, Chenxi has contributed to multilingual and parameter-efficient transfer learning, faithful generative information extraction, and reproducible ML deployments at organizations including Google DeepMind, Amazon, Replicate and MBZUAI. Their publication record includes papers at EMNLP, ACL and NAACL, reflecting a strong track record in multilingual NLP and cross-lingual transfer. Trained through a PhD in Computer Science and postdoctoral research in NLP, Chenxi blends deep research rigor with hands-on engineering from prior software roles at HP, Siemens and startups. Colleagues describe them as someone who moves fluidly between prototyping production-ready ML systems and advancing core model science.
5 years of coding experience
6 years of employment as a software developer
University College London
MSc Electrical and Electronics Engineering, MSc Electrical and Electronics Engineering at FAU Erlangen-Nürnberg
PhD Computer Science Natural Language Processing, PhD Computer Science Natural Language Processing at City, University of London
Postdoc Research Associate Natural Language Processing, Postdoc Research Associate Natural Language Processing at University of Cambridge
BSc Information Engineering and Computer Science, BSc Information Engineering and Computer Science at Xi'an Jiaotong University
Chinese, English, German