Benjamin R. Redhead

I am a first year PhD student at the EPSRC CDT Machine Learning Systems in the School of Informatics Edinburgh University advised by Prof. Amos Storkey. My research is jointly funded via the ESPRC grant no. EP/Y03516X/1 and the University of Edinburgh.

Prior to my time at the University of Edinburgh, I conducted my Masters in Science studies in Computer Software and Theory under the supervision of Prof. Zhi Jin at Peking University , and before this I read my Bachelor's in Mathematics, Operational Research, Statistics, and Economics at Lancaster University .

I am always open to research collaborations and discussions. If you are working in the area of AI for time-series forecasting please feel free to send me an email or message me on LinkedIn.

Email  /  Institutional Email  /  CV  /  CV (Mandarin)  /  LinkedIn  /  GitHub

News

  • [Sep 2025]  Started the CDT MLSystems at the University of Edinburgh
  • [Jun 2025]  Graduated from Peking University with a Master's of Science
  • [May 2024]  Presented our work at Microsoft Research Asia's Intern Tech Fest in Beijing.
  • [Aug 2022]  Started as a CS Master's Student at Peking University.
  • [Aug 2022]  Honoured to recieve the Chinese Government Scholarship to fund my Master's degree and research.

Research

I am broadly interested in designing novel statistical learning algorithms to target large problems in AI for Time Series. My research focuses on algorithms to efficiently learn on small datasets and in non-stationary environments, particularly with regards to long-term time-series forecasting. Here are some of my recent or ongoing projects:

Decformer: A series-decompostion based approach to long-sequence time series forecasting
Benjamin Redhead Master's Thesis

Recent Events
I was invited to Microsoft Research Asia to present our ConNST project, which attempted to use change-point detection to guide ensemble learning.

Microsoft Research Asia Presentation

Website template from this repo and this webpage!