Samuel Livingstone
Scholar

Samuel Livingstone

Google Scholar ID: HK9uPpIAAAAJ
Associate professor in mathematical statistics, University College London
StatisticsProbability
Citations & Impact
All-time
Citations
856
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Became the first UK recipient of the Blackwell--Rosenbluth award from the International Society for Bayesian Analysis in 2021. Developed the rmcmc package for robust and flexible MCMC sampling in R, now available on CRAN. Supervised several PhD students to successful thesis defenses.
Research Experience
  • Held an EPSRC New Investigator Award entitled 'Robust and scalable Markov chain Monte Carlo for heterogeneous models' until Oct 2024. Currently an associate professor at UCL. Participated in multiple research projects and workshops, such as 'The London meeting on computational statistics'.
Education
  • Joined the department of Statistical Science at UCL in January 2018. Previously, a postdoc at the University of Bristol under Christophe Andrieu as part of the i-like project, and before that, a PhD at UCL supervised by Mark Girolami and Alex Beskos.
Background
  • Research interests include using tools from probability and mathematical analysis to study algorithms in Statistics and Machine Learning. The field is often called CSML. Also does some more methodological work in probabilistic modelling, particularly for health applications.
Miscellany
  • Believes in Stigler's law of eponymy and that the concept of multiple discovery/simultaneous invention is more closely aligned with the reality of scientific research than the heroic theory of invention. Despite this, still has a romantic view of academic life and strives for originality in his work.
Co-authors
0 total
Co-authors: 0 (list not available)