Mihaela van der Schaar
All AI mindsAI advancement report · generated from Mihaela van der Schaar's indicators
Mihaela van der Schaar — full AI read
Mihaela van der Schaar — John Humphrey Plummer Professor of ML, AI and Medicine, University of Cambridge (United Kingdom) — ranks #374/520 on the AI Advancement Index (65.8). Known for Machine learning for healthcare; synthetic data, automated ML and time-series modeling; one of the most prolific researchers in clinical ML and the van der Schaar Lab.
Role
John Humphrey Plummer Professor of ML, AI and Medicine
Affiliation
University of Cambridge
Country
United Kingdom
Field
Theory & foundations
Known for
Machine learning for healthcare; synthetic data, automated ML and time-series modeling; one of the most prolific researchers in clinical ML and the van der Schaar Lab
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Mihaela van der Schaar sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 65.8 | Developing · #374/520 | Low here — 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 | 72.0 | Moderate · #282/520 | Mid-pack. High would mean field-defining research contributions; low would mean limited direct research influence. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 52.0 | Developing · #435/520 | Low here — 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 | 70.0 | Moderate · #238/520 | 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 | 70.0 | Developing · #382/520 | Low here — less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- No standout dimension.
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.