Associate Professor
Dept. of Computer Science
University of Oxford

Program Director
Samsung AI Center, Cambridge

Fellow
Kellogg College
University of Oxford

nicholas.lane@cs.ox.ac.uk

@niclane7
LinkedIn
Google Scholar

I am an Associate Professor in the Computer Science department at the University of Oxford, where I lead the Machine Learning Systems lab. This lab is part of the Cyber-Physical Systems group. At Oxford, I am also a Fellow of Kellogg College, and teach machine learning on the Professional Masters Program. Along side my academic roles, I am a Program Director at the recently announced Samsung AI Center in Cambridge. My teams will be focused on-device and distributed forms of machine learning.

Broadly, my research interests revolve around the systems and modeling challenges that arise when computers collect and reason about sensor data. In the past, I have developed computational models of human behavior and context (using audio, image, location and inertial data), in addition to algorithms and systems software for mobile and embedded platforms. More recently, my work has focused on high efficiency deep learning and enabling training and inference to occur within limited compute, memory and energy budgets.  

Previously, I held dual academic and industrial appointments as a Senior Lecturer (Associate Professor) in the Computer Science department at University College London (UCL), and a Principal Scientist at Nokia Bell Labs. At UCL I was part of the Digital Health Institute and UCL Interaction Center, while at the Bell Labs I led DeepX – an embedded focused deep learning unit at the Cambridge location.

Before moving to England, I spent four years at Microsoft Research based in Beijing. There I was a Lead Researcher within the Mobile and Sensing Systems group (MASS). In March 2011, I received a Ph.D. from Dartmouth College.

I am an Associate Professor in the Computer Science department at the University of Oxford, where I am part of the Cyber-Physical Systems cluster of faculty.

My research interests revolve around the systems and modelling challenges that arise when computers collect and reason about people-centric sensor data. For the past three years, I have been primarily focused on: (1) developing deep learning models of human behavior and context (using audio, image and inertial data), and (2) enabling state-of-the-art signal processing and modeling algorithms to efficiently execute on embedded- and mobile-class hardware.

Previously, I held dual academic and industrial appointments as a Senior Lecturer (Associate Professor) in the Computer Science department at University College London (UCL), and a Principal Scientist at Nokia Bell Labs. At UCL I was part of the Digital Health Institute and UCL Interaction Center, while at the Bell Labs I led DeepX — an embedded focused deep learning unit at the Cambridge location.

Before moving to England, I spent four years at Microsoft Research based in Beijing. There I was a Lead Researcher within the Mobile and Sensing Systems group (MASS). In March 2011, I received a Ph.D. from Dartmouth College.

Please visit my publications page or google scholar profile to learn more about my work.