
Mitch Rubin

Selena Cox

John (Hank) Roser

Didem Un Ates

Christoph Spohr

Eiman Kanjo
Professor Eiman Kanjo is the Provost’s Visiting Professor in tinyML at Imperial College London. She is recognized among the Top 50 Women in Engineering and is a recipient of the Turing Network Development award. She is actively involved with the tinyML Foundation, serving on the steering committee for tinyML Research Symposium, tinyML EMEA, as a publication chair, and as the tinyML UK academic lead. Additionally, she is an editorial member of the Data Centric Engineering Journal and an Associate Director at Health Data Research UK.
With over 140 publications and grants from prestigious funders like DCMS and EPSRC, she collaborates extensively with industry charities and local authorities.
Prior to her current roles, she conducted significant research at the Computer Science departments at both the University of Cambridge and the University of Nottingham.
Currently, she is also a Professor of Pervasive Computing at Nottingham Trent University, leading the Smart Sensing Lab.

Matthew Barker

Dylan Curley
Dylan Curley has spent the majority of his career in AI from a software engineering background. He focuses on large scale AI systems infrastructure, automation, scaling, and reliability. These days Dylan manages a team of SREs (reliability engineers) at Google, who are responsible for the vast majority of AI systems across Alphabet including launching & operating the latest advances in Generative AI (Bard, Workspace, Search, YouTube, etc). He has also spent time working on AI for medical research and astrophysics, and advises startups in AI.

Andrew McMahon
Andrew (Andy) McMahon is a Principal Engineer within the AI COE at Barclays where he works on building the latest generation of machine learning and AI products to support colleagues and customers across the world. Andy is a well-known thought-leader in the practical implementation of MLOps, Generative AI and ML engineering, with experience developing these capabilities in several organisations. He has lectured at leading universities on these topics and is a sought after public speaker. He is also the author of a popular technical book, Machine Learning Engineering with Python (Packt).
