Hello! My name is Sam, and I am a researcher in Statistics.
I am currently Lecturer in Statistical Science at the University of Bristol.*
Prior to this role, I was a Senior Research Associate (also at the University of Bristol) working with Prof. Christophe Andrieu on the Bayes4Health grant, and also collaborating closely with Prof. Anthony Lee.
Even further in the past, I was a PhD student at the University of Cambridge, working with Dr. Sergio Bacallado. You can find an online copy of my dissertation here.
If you are eager to contact me, then I encourage you to get in touch by email (sam.power@bristol.ac.uk).
If you want to learn more about my research, then either navigate to my Research page, or jump directly to my Google Scholar profile. For some more informal research-oriented content, you might check out some of my Blog Posts.
*(not to be confused with the Sam Power who is Lecturer in Politics, also(!) at the University of Bristol.)
News (last updated March 2026)
Plans for Early 2026
For the next few months, I will be in Bristol more consistently (for teaching commitments, etc.). I will have less time than usual for reviewing papers, giving talks, and making research visits.
OMCS, Spring 2026 Season
The Online Monte Carlo Seminar is back, starting on Tuesday, January 13, and weekly thereafter. We have an exciting schedule of speakers for this term, so do join us in the online audience!
Subscribe to the seminar mailing list and calendar, follow our X account, and catch up on our past talks on YouTube.
Keywords
Computational Statistics
Monte Carlo Methods
Numerical Analysis
Bayesian Modelling
Functional Inequalities
Concentration of Measure
Stability of Stochastic Processes
Research Interests
My research interests center around the design and analysis of stochastic algorithms, with applications mainly to statistics, using tools from probability and analysis.
I am particularly interested in Monte Carlo methods, such as Markov Chain Monte Carlo and Sequential Monte Carlo, and how the implementation of these methods can be made automatic, robust, and efficient.
On the more mathematical side, exploring these topics lead to various interesting questions of a more general character, concerning stability of stochastic processes, the concentration of measure phenomenon, geometric functional inequalities, and beyond.
You can find more details on my Research page.
Education and Positions
(2024-): Lecturer in Statistical Science University of Bristol
(2020-2023): Postdoctoral Research Associate University of Bristol
(2016-2020): PhD University of Cambridge
(2010-2014): MMath University of Oxford
Contact Information
Email: sam.power@bristol.ac.uk
Twitter: @sp_monte_carlo
Bluesky: @spmontecarlo.bsky.social
LinkedIn: samuel-power-6308b02b
Office: 1.83, Fry Building, University of Bristol
I am happy to be contacted about my work, or other research-related topics, and generally prefer to begin a dialogue over email. Historically, I have also been known to post about research on different forms of social media; I am generally happy to be contacted there in a less formal capacity.