University of Edinburgh | School

Marina Danilevsky is a research staff member at IBM Research working on NLP, human-centered AI, foundation models, and data-centric AI. She has been at IBM since 2014 and has led work on ontology learning, data quality, and model evaluation. She earned her PhD in Informatics from the University of Edinburgh.

Research scientist at NVIDIA working on compression, efficient inference, post-training, multimodality, and evaluation for large language models. He completed a PhD in machine learning at Stanford and a master's in artificial intelligence at the University of Edinburgh.

Valentina Pyatkin works on open language models, post-training, steerability, instruction following, and evaluation as a postdoctoral researcher and Young Investigator at Ai2 and the University of Washington.

Marcelo O. Matena is a research engineer at Apple. His public homepage says he focuses on machine learning, natural language processing, and software engineering, and that he holds a doctorate in natural language processing from the University of Edinburgh plus both master's and bachelor's degrees in computer science from UFMG.

Public sources reviewed support Biao Zhang as a researcher at Google DeepMind whose recent work covers multilingual machine translation, speech translation, and fine-tuning methods for large language models.

Researcher at Google DeepMind working on multilingual machine translation, speech-to-text translation, and efficient neural machine translation.

Marina Danilevsky

Trevor Gale

Valentina Pyatkin

Marcelo O. Matena

Biao Zhang

Biao Zhang