Scholar
Mark van der Wilk
Google Scholar ID: PKcjcT4AAAAJ
Associate Professor, University of Oxford
Citations & Impact
Citations
3,895
H-index
30
i10-index
38
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Research presented at leading machine learning conferences such as NeurIPS and ICML, including a best paper award. Ongoing collaborations include tailored Bayesian optimisation models for biomolecular design or optimisation of chemical processes.
Research Experience
- Previously a Senior Lecturer (Associate Professor) at Imperial College London, and worked in industry with Dr. James Hensman for two years on data-driven decision making. Occasionally worked as a machine learning consultant during his PhD and spent a few months as a visiting researcher at Google in Mountain View, CA.
Education
- PhD from the Machine Learning Group at the University of Cambridge, supervised by Prof. Carl Rasmussen, completed in 2017. Funded by EPSRC and awarded a Qualcomm Innovation Fellowship for the final year.
Background
- Associate Professor in the Department of Computer Science at the University of Oxford, researching machine learning, and a Tutorial Fellow at Hertford College. Research interests include: finding general patterns that allow generalization beyond the training set, automatically assembling neuron connectivity structure, and interacting with the environment while avoiding risk but learning as quickly as possible.
Miscellany
- Moved to the UK from the Netherlands for his undergraduate degree in Engineering.
