Laboratory for Design and Machine Learning

Laboratory for Design and Machine Learning


The Future Cities Laboratory for Design and Machine Learning (LDML) is a cross-disciplinary design research group dedicated to research with tangible social impact. The practice-led research in the Lab focuses on design analysis, design processes, and design value. It explores the impact of machine learning, data-driven and evidence-based design, regulatory frameworks and policy, and lived experience and cultural expectations on spatial design.

The LDML is part of the School of Architecture at the Royal College of Art (RCA) in London. A specialist and research-intensive postgraduate institution, the RCA is the world’s number one university for art and design (2021 QS World University Subject Rankings).

The LDML was established in 2018 with the generous support of the Prosit Philosophiae Foundation. 


Prof Sam Jacoby


Dr Adrian Lahoud


Lucia Alonso

Research Associate*

Wojciech Mazan

Research Associate*

Dr Robin Roussel

Postdoctoral Research Associate*

Dr Seyithan Özer

Postdoctoral Research Associate*

Małgorzata Starzyńska

Research Associate*

Former Staff
Dr Jingru (Cyan) Cheng (Postdoctoral Research Associate)*
Dean Black (Research Associate)*
Anna Voersel (Research Associate)*
David Kim (Research Fellow)*
U-Sun I Hu (Research Associate)*

* Post funded by the Prosit Philosophiae Foundation


Seyithan Ozer, ‘Interior Complex: Design Standardisation in London’s Housing’ (2021).
Supervisors: Prof Sam Jacoby and Dr Alasdair Jones (LSE)

Yakim Milev, ‘Integrated Architectural and Structural Design of Modular and Adaptive Stadia’.
Supervisors: Prof Sam Jacoby, Dr Alessandro Margnelli (AKT II) and Dr Dragos Naicu (AKT II)

Partners & Collaborators




Dr Alvaro Arancibia

Pontificia Universidad Católica de Chile

Computer Science Research Centre


Prosit Philosophiae Foundation

Research Investment Fund


Laboratory for Design and Machine Learning | Royal College of Art | Kensington Gore, London SW7 2EU

Tel: +44 (0)20 7590 4281