Maike Osborne
Professor of Engineering Science
Develops probabilistic machine learning, including Bayesian optimisation and probabilistic numerics, and leads the Bayesian Governance Lab.
Maike Osborne's lab at Oxford works on probabilistic & causal inference and social computing & responsible AI. Applications close .
At a glance
- papers, 2023–2026
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- at T1 venues
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- PhD students
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- MS students
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- alumni listed
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Papers by year2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Paper list
No papers from 2023–2026 are listed for this lab.
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
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