I'm a researcher at Graz University of Technology working in applied information theory (with a data science flavor).

I love math, all things entropy, and working in small teams. Networking is the best part of academic conferences - I'm a people person!

Measuring the information content of time series

The information dimension of a stochastic process is a measure for the information content of a (random) time series. This quantity, in turn, characterizes fundamental limits of analog compression/sampling: The number of measurements you need to take to reconstruct the time series is proportional to its information dimension. Information dimension was shown to be connected to the bandwidth of a (Gaussian) process and to the rate-distortion dimension.

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