a person in the record
Andrew M. Stuart
British mathematicianborn 1962
Supervised 7 doctoral students at California Institute of Technology between 2022 and 2026; Wikidata names John Norbury as doctoral advisor and lists 20 doctoral students. Linked to Wikidata, ORCID, and 8 other registers.
How to read the markscited by a repository's recordstated by Wikidata or indexed by OpenAlexclaimed on an ORCID list, or inferred
Students7
- cited by a thesis record
Edoardo Calvello“Operator Learning for Inference in Dynamical Systems”
2026 · California Institute of Technology · doctoral - cited by a thesis record
Margaret Katherine Trautner“Operator Learning for Scientific Computing”
2025 · California Institute of Technology · doctoral - cited by a thesis record
Dmitry Anatolyevich Burov“Kernel Methods for Learning About Complex Dynamical Systems”
2024 · California Institute of Technology · doctoral - cited by a thesis record
Nicholas Hao Nelsen“Statistical Foundations of Operator Learning”
2024 · California Institute of Technology · doctoral - cited by a thesis record
Yifan Chen“On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems”
2023 · California Institute of Technology · doctoral - cited by a thesis record
Matthew Emanuel Levine“Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data”
2023 · California Institute of Technology · doctoral - cited by a thesis record
Nikola Borislavov Kovachki“Machine Learning and Scientific Computing”
2022 · California Institute of Technology · doctoral
Advisors on Wikidata1
From Wikidata, shown separately from the thesis records.
- stated by Wikidata
Students on Wikidata20
From Wikidata, shown separately from the thesis records.
- stated by Wikidataborn 1967
- stated by Wikidataborn 1968
- stated by Wikidataborn 1972
- stated by Wikidataborn 1988
- stated by Wikidataborn 1989
- stated by Wikidataborn 2000
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
The line above and below2 steps
The advisors of their advisors, four steps up at most, in the thesis records and on Wikidata, each kind marked; a person in both is listed once.
- 1 step up
stated by WikidataJohn Norbury
- 2 steps up
stated by WikidataEdward Fraenkel
Below them, within 3 steps, the record reaches 52 people: 7 cited by thesis records, 45 stated by Wikidata.
Education and career2
From Wikidata, shown separately from the thesis records. Each place opens its Wikidata item.
- until 1986studied
- 1991 to 1999worked
Sat beside the lineage25
committee member, not advisor
- cited by a thesis record
Matthieu D. Darcy“Gaussian Processes for Scientific Machine Learning: PDE Solvers and Operator Learning”
committee member · 2027 · California Institute of Technology · doctoral - cited by a thesis record
Adeline Emily Wihardja“Model Discovery in Mechanics: From Conventional to Data-Driven Methods”
committee member · 2027 · California Institute of Technology · doctoral - cited by a thesis record
Edoardo Calvello“Operator Learning for Inference in Dynamical Systems”
committee member · 2026 · California Institute of Technology · doctoral - cited by a thesis record
Ritvik S. Teegavarapu“Interacting Particle Systems for Sampling from Non-Gaussian Targets”
committee member · 2026 · California Institute of Technology · bachelor's - cited by a thesis record
Margaret Katherine Trautner“Operator Learning for Scientific Computing”
committee member · 2025 · California Institute of Technology · doctoral - cited by a thesis record
Dmitry Anatolyevich Burov“Kernel Methods for Learning About Complex Dynamical Systems”
committee member · 2024 · California Institute of Technology · doctoral - cited by a thesis record
Nicholas Hao Nelsen“Statistical Foundations of Operator Learning”
committee member · 2024 · California Institute of Technology · doctoral - cited by a thesis record
Yifan Chen“On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems”
committee member · 2023 · California Institute of Technology · doctoral - cited by a thesis record
Matthew Emanuel Levine“Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data”
committee member · 2023 · California Institute of Technology · doctoral - cited by a thesis record
Ignacio López Gómez“A Unified Data-Informed Model of Turbulence and Convection for Climate Prediction”
committee member · 2023 · California Institute of Technology · doctoral - cited by a thesis record
Eric Ocegueda“Physics-Based and Data-Driven Computational Models of Inelastic Deformations”
committee member · 2023 · California Institute of Technology · doctoral - cited by a thesis record
Ziyun Zhang“Low-Rank Matrix Recovery: Manifold Geometry and Global Convergence”
committee member · 2023 · California Institute of Technology · doctoral - cited by a thesis record
Jiajie Chen“Singularity Formation in Incompressible Fluids and Related Models”
committee member · 2022 · California Institute of Technology · doctoral - cited by a thesis record
Nikola Borislavov Kovachki“Machine Learning and Scientific Computing”
committee member · 2022 · California Institute of Technology · doctoral - cited by a thesis record
Jorge Luis Rosa-Raíces“Path Space Markov Chain Monte Carlo Methods for Molecular Simulation”
committee member · 2022 · California Institute of Technology · doctoral - cited by a thesis record
Thomas Geoffrey Anderson“Hybrid Frequency-Time Analysis and Numerical Methods for Time-Dependent Wave Propagation”
committee member · 2021 · California Institute of Technology · doctoral - cited by a thesis record
Danilo Smiljan Kusanovic“Improving Reduced Order Models of Soil-Structure Interaction Using an Ensemble Kalman Inversion Finite Element Model Updating Framework”
committee member · 2021 · California Institute of Technology · doctoral - cited by a thesis record
Gene Ryan Yoo“Learning Patterns with Kernels and Learning Kernels from Patterns”
committee member · 2021 · California Institute of Technology · doctoral - cited by a thesis record
De Huang“Positive Definite Matrices: Compression, Decomposition, Eigensolver, and Concentration”
committee member · 2020 · California Institute of Technology · doctoral - cited by a thesis record
Armeen Taeb“Latent-Variable Modeling: Algorithms, Inference, and Applications”
committee member · 2020 · California Institute of Technology · doctoral - cited by a thesis recordcommittee member · 2019 · California Institute of Technology · doctoral
- cited by a thesis record
Andre Fernando de Castro da Silva“An EnKF-Based Flow State Estimator for Aerodynamic Problems”
committee member · 2019 · California Institute of Technology · doctoral - cited by a thesis record
Yong Sheng Soh“Fitting Convex Sets to Data: Algorithms and Applications”
committee member · 2019 · California Institute of Technology · doctoral - cited by a thesis record
Thomas Anthony Catanach“Computational Methods for Bayesian Inference in Complex Systems”
committee member · 2017 · California Institute of Technology · doctoral - cited by a thesis record
Pengchuan Zhang“Compressing Positive Semidefinite Operators with Sparse/Localized Bases”
committee member · 2017 · California Institute of Technology · doctoral