Jacquelyn A. Shelton, M.S. Computer Science (Informatik)
Technische Universität Berlin
Department of Machine Learning / Intelligent Data Analysis
Institute of Software Engineering and Theoretical Computer Science
Sekretariat MAR 5-6
Marchstrasse 23
10587 Berlin

Office: +49 tba
Email: shelton ät tu-berlin.de


My interests were nurtured in the machine learning group at the MPI in Tuebingen where I worked on kernel methods and have since ventured to the probabilistic side using Bayesian modelling, and now sometimes even combine them. My primary applications include neuroscience and image processing. I am currently at TU Berlin and putting the finishing touches on my PhD thesis about large-scale approximate inference in probabilistic models.

I completed my M.S. in Computer Science (Informatik) at the Max Planck Institute for Biological Cybernetics dept. Schölkopf (Empirical Inference) with the Universität Tübingen, on semi-supervised Kernel CCA applied to fMRI data with supervision from Andreas Bartels, Matthew Blaschko, Arthur Gretton, and Christoph Lampert. Here is my old homepage at the MPI.


Publications  [Google scholar]


Conference papers:

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Coming soon - available for now upon email request.