Scholar
Jeremias Knoblauch
Google Scholar ID: 4TPsxlsAAAAJ
Associate professor & EPSRC Fellow @ University College London
Citations & Impact
Citations
1,066
H-index
14
i10-index
17
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- EPSRC Fellow (until July 2025).
- Biometrika Fellow (2021–2022).
- First UK-based Facebook Fellow (2020/2021).
- Leads research on generalised Bayesian inference, robust methods, and variational approaches.
- Supervises PhD students working on Bayesian methods with LLMs, reinforcement learning, uncertainty quantification, and robust distance measures.
Research Experience
- Lecturer and Biometrika Fellow at UCL (July 2022 – October 2024).
- Biometrika Fellow at UCL (October 2021 – July 2022).
- Doctoral candidate in the Oxford-Warwick Statistics Programme (2016–2021); first UK-based Facebook Fellow (2020/2021).
- Research intern at Amazon (2019) and DeepMind (2021).
- Co-leads the Fundamentals of Statistical Machine Learning (FSML) research group at UCL with Francois-Xavier Briol, supervising multiple PhD students.
Background
- Research focuses on extending the Bayesian inference paradigm to address challenges posed by modern large-scale data, simulator models, and machine learning techniques.
- Particularly interested in generalised and Post-Bayesian inference, model misspecification and robustification strategies, computational intractability, and variational methods.
- Appointed Associate Professor at University College London (UCL) Department of Statistical Science from October 2024.
- Fully bought out of teaching and administrative duties until July 2025 through an EPSRC Fellowship to pursue research on 'Optimisation-centric Generalisations of Bayesian Inference'.
- Visiting researcher at the Alan Turing Institute’s Data-Centric Engineering Programme; scientific advisor for HopStair and Idoven.
- Provides technical advice to legal experts at FoxGlove to ensure AI/ML serves the public good and acts as a statistical expert witness in high-profile legal cases.
