DNA Data Storage and Near-Molecule Processing for the Yottabyte Era

When
21-05-2019 from 10:00 to 11:00
Where
Leslokaal 1.1 in the iGent building, Technologiepark-Zwijnaarde 126.
Language
English
Organizer
Lieven Eeckhout
Contact
Lieven.eeckhout@ugent.be
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In this talk we present our efforts in building an end-to-end system, from the computational component of encoding and decoding to the molecular biology component of random access, sequencing and fluidics automation.

DNA data storage is an attractive option for digital data storage because of its extreme density, durability and eternal relevance. This is especially attractive when contrasted with the exponential growth in world-wide digital data production. In this talk we will present our efforts in building an end-to-end system, from the computational component of encoding and decoding to the molecular biology component of random access, sequencing and fluidics automation. We will also discuss some early efforts in building a hybrid electronic/molecular computer system that can offer more than just data storage, for example, similarity search of media data.

Bio:
Luis Ceze is a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington and a Venture Partner at Madrona Venture Group. His research focuses on the intersection between computer architecture, programming languages, machine learning and biology. His current near-term research focus is on approximate computing for efficient machine learning and his longer-term focus is on DNA-based data storage and processing.
He co-directs the Molecular Information Systems Lab (MISL), the Systems, Architectures and Programming Languages for Machine Learning lab (SAMPL) and the Sampa Lab for HW/SW Co-design. He has co-authored over 100 papers in these areas, and had several papers selected as IEEE Micro Top Picks and CACM Research Highlights. His research has been featured prominently in the media including New York Times, Popular Science, MIT Technology Review, Wall Street Journal, among others. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, the IEEE TCCA Young Computer Architect Award and UIUC Distinguished Alumni Award.