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AI-Fun & ELLIS Invited Speaker Series | Sam Power

AI Fun & ELLIS image
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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More information

  • AI Fundamentals Website
  • Ticketsource registration link

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  • In category "Seminar"
  • In group "(DF) Data Science and AI"
  • By Faculty of Science and Engineering

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

  • https://www.bristol.ac.uk/people/person/Sam-Power-c9869d68-3fa7-46a3-858c-be8c7ba49bb8/

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Lecture Theatre 1.4
Kilburn Building
Manchester

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Centre for AI Fundamentals

ai-fun@manchester.ac.uk

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