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Supported by


Supported by the London Mathematical Society (LMS) Scheme 3 grant, our network aims to create a permanent, collaborative space for regular interaction, discussion, and long-term joint research within the UK’s Functional Data Analysis community.

The group brings together mathematical, theoretical, and applied statisticians from across the country to form a stronger, more connected, and collaborative research network.


1st UK FDA Network Meeting Queen Mary University of London September 2026

Network Events

📌 1st UK Functional Data Analysis Network Meeting

Our inaugural meeting will be hosted at Queen Mary University of London (QMUL). It features a dynamic format combining traditional research talks with intensive, interactive working groups designed to tackle open challenges and spark new collaborative projects.

Event Details

📍 Location & Venue

Schedule

Time Event / Session
10:30 - 11:00 Arrival & Welcome
11:00 - 11:45 Invited Talk 1
Dr. Eftychia Solea (QMUL) - “Robust Inverse Regression for Multivariate Elliptical Functional Data”
11:45 - 12:30 Invited Talk 2
Dr. Davide Pigoli (KCL) - “Inference for function-valued animal models in quantitative genetics”
12:30 - 14:00 Lunch Break
Complimentary lunch provided on-site.
14:00 - 14:45 Invited Talk 3
Prof. Xiaojun Zeng (Uni. of Manchester) - “A Machine Learning Theory and Approach to FDA”
14:45 - 15:30 Invited Talk 4
Prof. Ian Jermyn (Uni. of Durham) - “Shape-Time Manifolds and Cobordisms”
15:30 - 16:00 Coffee Break & Refreshments
16:00 - 17:30 Discussion & Breakout Groups
Interactive mini-groups focusing on open challenges and motivational problems led by the speakers.
17:30 Closing Remarks
End of the meeting.

Registration

Participation is free, and we welcome statistics researchers and graduate students interested in FDA. All refreshments, coffee breaks, and lunch will be provided on-site.

📝 Register Here to Reserve Your Seat

🔒 Secured by Queen Mary University of London Microsoft Suite. Automatic receipts will be issued.

Joint Research Group Committee


LMS        QMUL        Leeds        Nottingham