Tuesday, December 5, 2017
11:00 am
Powell-Booth 100 (Seminar Room) – Powell-Booth Laboratory for Computational Science

CD3 Seminar

Large-Scale Data Science
Fabian Gieseke, Large-Scale Data Science, Department of Computer Science, University of Copenhagen

The field of data science has gained considerable attention over the past
years. One reason for this phenomenon is the fact that the data volumes in
various domains have increased dramatically. This is the case, for instance, in
astronomy, where current projects produce data volumes in the terabyte range.
Upcoming ones will produce such data volumes per week, day, or even per hour. A
similar "data flood" can be observed in many other disciplines including
medicine, finance, energy systems, or remote sensing. In most cases, the sheer
data volumes render a manual analysis impossible. Data science techniques aim
at extracting knowledge in an automatic manner and have been identified as one
of the key drivers for new discoveries and innovation. I will give a quick
introduction to large-scale data science and will also sketch some applications
in the fields of astronomy and remote sensing including photometric redshift
estimation, transient detection via deep learning, and change detection via
high-performance computing..

Short Bio:
Fabian Gieseke is a
Computer and Data Scientist
and applies novel methods
to a variety of fields

Contact Tracy Sheffer tracy@cd3.caltech.edu at 4116
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