Bastian Rieck (Preferred)
, Bastian Alexander Rieck
, Bastian Grossenbacher-Rieck
, Bastian Alexander Grossenbacher-Rieck
Bastian Rieck
Technische Universität München
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@bsse.ethz.ch
, ****@rieck.me
, ****@gmail.com
, ****@helmholtz-muenchen.de
Personal Links
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Education & Career History
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Junior Fellow
Technische Universität München (tum.de)
2022 – Present
Principal Investigator
Institute of AI for Health, Helmholtz Munich (helmholtz-muenchen.de)
2021 – Present
Senior Assistant
Swiss Federal Institute of Technology (ethz.ch)
2020 – 2021
Postdoc
Swiss Federal Institute of Technology (ethz.ch)
2018 – 2019
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Smita Krishnaswamy
****@yale.edu
2020 – Present
Coauthor
Guy Wolf
****@umontreal.ca
2020 – Present
Coauthor
Roland Kwitt
****@sbg.ac.at
2020 – Present
Coworker
Celia Hacker
****@epfl.ch
2020 – Present
Postdoc Advisor
Karsten Borgwardt
****@bsse.ethz.ch
2018 – Present
Coworker
Filip Sadlo
****@uni-heidelberg.de
2016 – Present
PhD Advisor
Heike Leitte
****@cs.uni-kl.de
2011 – 2017
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
rkhs
Present
kernel methods
Present
graph kernels
Present
spectral methods
Present
computational biology
Present
graphs
Present
persistent homology
Present
computational topology
Present
wasserstein distance
Present
optimal transport
Present
topological data analysis
Present
topology
Present
fmri
Present
autoencoders
Present
topological machine learning
Present
geometric deep learning
Present