Scholar
Kelvin Guu
Google Scholar ID: w8ZDbO8AAAAJ
Principal Research Scientist / Director, Google DeepMind
Citations & Impact
Citations
16,910
H-index
26
i10-index
29
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- - Publication: Simfluence: Modeling the influence of individual training examples by simulating training runs, Kelvin Guu* et al., arXiv preprint, 2023
- - Publication: RARR: Researching and revising what language models say, using language models, Luyu Gao* et al., ACL, 2023
- - Publication: Finetuned language models are zero-shot learners, Jason Wei* et al., ICLR, 2023
Research Experience
- - 2018 - Present: Senior Staff Research Scientist, Manager at Google DeepMind, developing new methods for machine learning and natural language processing
- - 2018 - 2019: Lecturer at Stanford University, teaching core topics in artificial intelligence (CS221) to 700+ Stanford students
- - Summer 2015: Ph.D. Software Engineering Intern at Google, worked with Jakob Uszkoreit on applied NLP projects
- - Winter 2014/15: Research Consultant at MetaMind, worked with Founder & CEO/CTO Richard Socher
- - 2011 - 2012: Researcher in Bayesian Statistics at Duke University, research with Professors David B. Dunson and Alex Hartemink
Education
- - 2012 - 2018: Ph.D. in Statistics at Stanford University, Advisor: Percy Liang, Committee: Percy Liang, Wing Hung Wong, Chris Manning, Lester Mackey
- - 2007 - 2011: B.S. in Mathematics at Duke University, Minor in Biology, Advisors: David B. Dunson and Alex Hartemink
Background
- - Research Interests: Machine learning, deep learning, natural language processing, semantic parsing, reinforcement learning, statistics
- - Applications of Interest: Voice user interfaces, natural language interfaces, machine learning in healthcare, recommender systems
- - Background: Aims to make machine learning so cheap and easy that everyone can benefit from it. Excited about improving collective intelligence.
Miscellany
- - Personal Interests: Not specifically mentioned
