Professor Nic Lane
![Nic Lane](/sites/default/files/styles/medium/public/2023-10/Nic%20Lane-2%20cropped.jpg?itok=C082Rxxj)
University Senior Lecturer
Research interestsProfessor Lane studies the design, architecture and algorithms of scalable and robust end-to-end machine learning (ML) systems. His research interests drive towards the development of new forms of ML systems that are revolutionary in how they leverage multi-modal data (e.g. speech, vision, location, inertial information) to infer and reason over complex real-world situations — while simultaneously, maintaining extreme levels of systems flexibility (e.g. distributed execution, adaptation) and efficiency (e.g. compute, memory).
Office: G4 Second Court
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