Yee Whye Teh
All AI mindsAI advancement report · generated from Yee Whye Teh's indicators
Yee Whye Teh — full AI read
Yee Whye Teh — Professor of Statistical Machine Learning, University of Oxford; Senior Research Scientist, Google DeepMind, University of Oxford / Google DeepMind (United Kingdom) — ranks #215/520 on the AI Advancement Index (72.2). Known for Hierarchical Dirichlet processes and Bayesian nonparametrics, contrastive divergence with Hinton, deep belief networks, and probabilistic deep learning. Strongest on Research influence (84.0, Strong).
Role
Professor of Statistical Machine Learning, University of Oxford; Senior Research Scientist, Google DeepMind
Affiliation
University of Oxford / Google DeepMind
Country
United Kingdom
Field
Theory & foundations
Known for
Hierarchical Dirichlet processes and Bayesian nonparametrics, contrastive divergence with Hinton, deep belief networks, and probabilistic deep learning
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Yee Whye Teh sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 72.2 | Moderate · #214/520 | Mid-pack. High would mean among the very top minds advancing AI; low would mean lower relative influence within this elite set. ▲ high: among the very top minds advancing AI · ▼ low: lower relative influence within this elite set |
| Research influence Research influence | 84.0 | Strong · #86/520 | High here — field-defining research contributions. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 62.0 | Moderate · #328/520 | Mid-pack. High would mean central to building today's frontier AI; low would mean removed from frontier development. ▲ high: central to building today's frontier AI · ▼ low: removed from frontier development |
| Thought leadership Thought leadership | 66.0 | Moderate · #230/520 | Mid-pack. High would mean shapes how the field and public think about AI; low would mean limited public/field influence. ▲ high: shapes how the field and public think about AI · ▼ low: limited public/field influence |
| Field-building Field-building | 76.0 | Moderate · #161/520 | Mid-pack. High would mean builds the field — mentorship, institutions, tools, community; low would mean limited field-building footprint. ▲ high: builds the field — mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 72.0 | Developing · #350/520 | Low here — less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- Research influence (84.0, Strong) — field-defining research contributions.
Risk factors
- A significant, well-rounded contributor to AI's advancement.
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These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.