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Workshop: Statistics and Machine Learning for Networks and High-Dimensional Data
Imperial College London, South Kensington Campus, London (United Kingdom)
Welcome to the webpage of the first NetStat workshop on "Statistics and Machine Learning for Networks and High-Dimensional Data".
Where: Imperial College London
When: 16-17 December, 2025
Confirmed Speakers
Confirmed Speakers
Carey Priebe
Carey Priebe
Johns Hopkins University
Morgane Austern
Morgane Austern
Harvard University
Nick Whiteley
Nick Whiteley
University of Bristol
Zach Lubberts
Zach Lubberts
University of Virginia
Alexander Fuchs-Kreiß
Alexander Fuchs-Kreiß
Leipzig University
Annie Gray
Annie Gray
The Alan Turing Institute
Joshua Cape
Joshua Cape
University of Wisconsin
Leigh Shlomovich
Leigh Shlomovich
Alpha Level Security
Joshua Agterberg
Joshua Agterberg
University of Illinois
Marianna Pensky
Marianna Pensky
University of Central Florida
Juqi Gu
Juqi Gu
Columbia University
Vince Lyzinski
Vince Lyzinski
University of Maryland
Organisers
Organisers
Imperial College London
University of Edinburgh
Imperial College London
Venue
Venue
170 Queen's Gate
170 Queen's Gate
SW7 5HF, London
SW7 5HF, London
The event will be held in the South Kensington Campus at Imperial College London. 170 Queen's Gate is a grade II listed Victorian townhouse, completed in 1889 by Norman Shaw.
Sponsors
Sponsors
UKRI / EPSRC
UKRI / EPSRC
NeST Programme Grant
NeST Programme Grant
This workshop is funded via the following EPSRC grants:
EPSRC ECR International Collaboration Grant 2024-2026 on "Spectral embedding methods and subsequent inference tasks on dynamic multiplex graphs", PI: Sanna Passino, EP/Y002113/1.
EPSRC Programme Grant 2022-2028 on "Network Stochastic Processes and Time Series (NeST)", PI: Nason, Co-Is: Heard, Rubin-Delanchy et al., EP/X002195/1.
The workshop is also supported by the Emerging Applications Section of the Royal Statistical Society.
Registration will open soon!
Registration will open soon!
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