AI-Fun & ELLIS Invited Speaker Series | Sam Power
Dates: | 10 December 2025 |
Times: | 11:00 - 12:00 |
What is it: | Seminar |
Organiser: | Faculty of Science and Engineering |
Who is it for: | University staff, External researchers, Alumni, Current University students |
Speaker: | Sam Power |
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November’s AI Fun and ELLIS Invited Speaker is Sam Power from the University of Bristol
Bio: Sam is a Lecturer in the School of Mathematics. Sam received his PhD degree in 2020 from the Statistical Laboratory at the University of Cambridge, where his thesis focused on the synthesis and analysis of stochastic simulation algorithms for Bayesian inference. He then joined the School of Mathematics at Bristol as a postdoctoral research associate, further developing his interests in statistical modelling and computation, before securing a role as Lecturer.
His research interests at present centre around i) theoretical aspects of Markov chain Monte Carlo (MCMC) algorithms, and ii) scalable computational methods for state-space models, with applications to inference in stochastic epidemic models, though he retains broad interests across aspects of applied probability, statistical inference, and computation.
Title and abstract to follow.
In-person attendance is encouraged but if you can only join online, you are welcome to register via Ticket Source (link provided on this page).
Speaker
Sam Power
Role: Lecturer
Organisation: University of Bristol
Travel and Contact Information
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Lecture Theatre 1.4
Kilburn Building
Manchester