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SUMMARY:IC Talk: Robust Storage of Information in DNA Molecules
DTSTART:20180413T101500
DTEND:20180413T113000
DTSTAMP:20260506T084454Z
UID:4a235a35e1db9ba4c38121f0b085648f492b5b87ada514ffa1721ff1
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Reinhard Heckel from Rice University\n\nAbstract:\nDue to 
 its longevity and enormous information density\, DNA is an attractive medi
 um for archival storage of digital information. In this talk\, we discuss 
 algorithmic and design aspects of DNA data storage systems. A key distinct
 ive aspect of DNA data storage systems is that due to technological constr
 aints\, (1) data is written onto many short DNA molecules that are stored 
 in an unordered way and (2) the data is read by sampling from this DNA poo
 l. Imperfections in DNA synthesis\, sequencing\, and decay of DNA induces 
 errors in the reads obtained from the DNA pool. Error correcting codes can
  correct those errors and allow to perfectly recover the digital informati
 on. We discuss the design of such codes for the particular requirements im
 posed by DNA data storage systems. Moreover\, we study the basic relations
 hips and tradeoffs between key design parameters and performance goals suc
 h as storage density and reading/writing costs\, and the fundamental limit
 s of DNA storage systems. Finally\, we discuss our experience with designi
 ng and testing one of the first robust DNA data storage systems\, and how 
 the qualitative and quantitative understanding of the errors obtained from
  our experiments and the experiments from other groups can inform the desi
 gn of future DNA data storage systems.\n\nBio:\nReinhard Heckel is an assi
 stant professor in the Department of Electrical and Computer Engineering a
 t Rice University. Prior to that\, he spent one and a half year as a postd
 octoral researcher in the Department of Electrical Engineering and Compute
 r Sciences at the University of California\, Berkeley. Before that\, he sp
 ent a year in the Cognitive Computing & Computational Sciences Department 
 at IBM Research\, Zurich. He got his Ph.D. in August 2014 at ETH Zurich\, 
 Department of Information Technology and Electrical Engineering\, advised 
 by Helmut Bolcskei\, and was awarded the ETH Medal. He is interested in va
 rious topics in machine learning\, mathematical signal processing\, sparse
  signal recovery\, and computational biology\n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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