About
Eric P. Xing is a Professor at the Language Technologies Institute of Carnegie Mellon University, and currently serves as President of the Mohamed bin Zayed University of Artificial Intelligence. His work bridges machine learning methodology with computational biology and large-scale AI systems.
Research Focus:
- Developing machine learning theory for high-dimensional, dynamic data
- Building foundation models for biology (AIDO, scLong, ProteinAligner)
- Designing scalable AI architectures (Pollux, LLM360, PAN)
- Advancing interpretable and controllable NLP systems
Scientific Leadership:
- Founded the SAILING Lab at CMU
- Co-chaired ICML 2014 and ICML 2019
- Recipient of the Jay Lepreau Best Paper Award (OSDI 2021)
Education & Mentorship:
- Advises PhD students across machine learning and computational biology
- Alumni include faculty at ETH Zurich, University of Chicago, and UC San Diego
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