Hello! I'm a PhD student at UCL working in Bayesian computation, supervised by Dr Sam Livingstone. I'm particularly interested in Adaptivity and Preconditioning in Bayesian Computation.
A fresh take on ‘Barker dynamics’ for MCMC. - Hird, M., Livingstone, S., and Zanella, G. (2020). in Proceeding of Monte Carlo and Quasi-Monte Carlo Methods 2020
Deepti Jayawardena Wilkinson Award for Service - Awarded for services to the Department of Statistics at UCL
Poster Prize - London Wide Poster Day
UK-Canada Globalink doctoral exchange scheme - funded by UKRI and Mitacs £15,000 + $3,000 CAD
Fully-funded 4 year EPSRC PhD Scholarship c. £70,00 + tuition
Preconditioning for MCMC for Algorithms and Computationally Intensive Inference Seminars (Warwick) 10th February 2023 Slides
Why Boltzmann Brains are Bad for Young Researchers Seminar Series (UCL) 16th November 2022 Slides
Temporal Inference with Finite Factored Sets for Foundations and Landmarks, Year 1 (UCL) 28th June 2021
The MCMC Revolution for Foundations and Landmarks, Year 1 (UCL) 14th December 2020 Slides
I founded and currently organise the Foundations and Landmarks reading group along with Kevin Han Huang. In year 1 we reviewed foundational papers in probability and statistics. It is now year 2, and we are reading Topics in Random Matrix Theory from Terry Tao. If you want to join (please do!) send me an email at the address below.
I currently organise the MCMC reading group at the Department of Statistics at UCL. We are reading through Convex Optimization: Algorithms and Complexity from Sebastien Bubeck
Rui Zhang - Undergraduate Project - Markov Processes and Markov Chain Monte Carlo (Co-supervised with Sam Livingstone)
STAT0023 - Introduction to Practical Statistics - 2nd term 2020/22
My email is max [dot] hird [dot] 19 [at] ucl [dot] ac [dot] uk