Associate Professor
Dept. of Computer Science & Tech.
University of Cambridge
Laboratory Director
Samsung AI, Cambridge
ndl32@cam.ac.uk
I am an Associate Professor in the department of Computer Science and Technology at the University of Cambridge, where I lead the Machine Learning Systems lab. Our mission is to invent the next-generation of breakthrough ML-centric systems.
At Samsung AI in Cambridge, I am also the Laboratory Director. This 50-person lab has an agenda of broad ML advancement, and in addition to leading the lab — I personally direct teams focused on distributed and on-device forms of learning.
OPEN POSITIONS
Open Research and Engineering Positions
Multiple Postdoc/Engineering positions available. Seeking those with either strong systems experience with interest in ML or strong ML experience with interest in collaborations with systems. Email me for further information. Formal advertisements for these posts will...
read moreNEWS
Three ICLR 2021 papers accepted
Three papers accepted at ICLR this year! Two tackle how to scale NAS and its application to domains like ASR. The other studies the quantization of GNNs.
read moreNeurIPS 2020 accepted paper
Our paper, “BRP-NAS: Prediction-based NAS using GCNs”, was accepted at NeurIPS 2020.
read moreFlower @ Google FL workshop!
At this week’s Google FL workshop, we are launching our open source tool: Flower (http://flower.dev) to devise and evaluate FL under real-world conditions. Arxiv paper is out.
read moreMoving to Cambridge
I have accepted a position at the University of Cambridge that will be effective May 6th onwards. My research lab will gradually be moving over the summer.
read moreERC Starting Grant
ERC Starting Grant Award, beginning May 2020 “REDIAL: Re-thinking Efficiency in Deep Learning under Accelerators and Commodity Processors”. 1,500,000 EUR
read more
Associate Professor
Dept. of Computer Science & Tech.
University of Cambridge
Laboratory Director
Samsung AI, Cambridge
ndl32@cam.ac.uk
OPEN POSITIONS
Open Research and Engineering Positions
Multiple Postdoc/Engineering positions available. Seeking those with either strong systems experience with interest in ML or strong ML experience with interest in collaborations with systems. Email me for further information. Formal advertisements for these posts will...
read moreNEWS
Three ICLR 2021 papers accepted
Three papers accepted at ICLR this year! Two tackle how to scale NAS and its application to domains like ASR. The other studies the quantization of GNNs.
NeurIPS 2020 accepted paper
Our paper, “BRP-NAS: Prediction-based NAS using GCNs”, was accepted at NeurIPS 2020.
Flower @ Google FL workshop!
At this week’s Google FL workshop, we are launching our open source tool: Flower (http://flower.dev) to devise and evaluate FL under real-world conditions. Arxiv paper is out.
Moving to Cambridge
I have accepted a position at the University of Cambridge that will be effective May 6th onwards. My research lab will gradually be moving over the summer.
ERC Starting Grant
ERC Starting Grant Award, beginning May 2020 “REDIAL: Re-thinking Efficiency in Deep Learning under Accelerators and Commodity Processors”. 1,500,000 EUR