People

Prof. Thomas Gärtner : Computational aspects of machine learning.

Maximilian Thiessen : Graph-based machine learning, active learning, and learning theory. Connects (graph) convexity theory with machine learning.

David Penz : Background in economics and theoretical computer science. Working on disentangled representations, knowledge transfer, and neuro-symbolic AI.

Tamara Drucks : Background in bioinformatics and theoretical computer science. Now interested in graphs, optimization, and (deep) learning theory.

Patrick Indri : Background in physics and data science. Interested in trustworthy machine learning focusing on privacy and robustness.

Fabian Jogl : Machine learning on graphs and especially graph neural networks. Combining ideas from algorithmics with machine learning.

Dr. Pascal Welke : Interested in similarity based learning on graphs, as well as counting of various substructures for fun and (machine learning) profit.

Dr. Sagar Malhotra : Machine learning, logic, and probability in all possible combinations.

Christoph Sandrock : Interested in active learning, graph learning, and learning theory.

Johannes Petersen : Algorithmic cheminformatics, graph algorithms, graph transformation rules and mass spectrometry.

Klaus Weinbauer : Interested in cheminformatics, synthesis planning, and graph-based machine learning.

Visitors

Benoît Goupil : Winter 2024-2025

Dr. Fabrizio Frasca : Summer 2024

Masahiro Negishi : Summer 2024

Dr. Caterina Graziani : Winter 2023-2024

Alumni

Anice Jahanjoo : Project Assistant, 2022-2024

Dr. Anna Sepliarskaia : PostDoc, 2020-2022

Group Leader

Group members

TU Wien (from 2019)

• Maximilian Thiessen (PhD candidate, since 2020)
• David Penz (PhD candidate, since 2020; joint position at JKU Linz with Markus Schedl)
• Dr. Anna Sepliarskaia (PostDoc, 2020-2022)
• Tamara Drucks (PhD candidate, since 2021)
• Patrick Indri (PhD candidate in the SecInt doctoral college, since 2021)
• Fabian Jogl (PhD candidate in the Center for Artificial Intelligence and Machine Learning, since 2022)
• Anice Jahanjoo (Project Assistant, 2022-2024)
• Dr. Pascal Welke (PostDoc, since 2023)
• Dr. Sagar Malhotra (PostDoc, since 2023)
• Christoph Sandrock (PhD candidate, since 2024)
• Johannes Petersen (PhD candidate, since 2024)
• Klaus Weinbauer (PhD candidate, since 2024)
• Ülkühan (Hannah) Kacmaz (Administration)
• Martina Trauner (IT Services)

University of Nottingham (2015--2019)

• Joseph Redshaw (co-supervised PhD candidate, since 2018)
• Alexe Haywood (co-supervised PhD candidate, since 2018)
• Dr. Dino Oglic (supervised PhD candidate in Bonn, PDRA in Nottingham, thesis completed '18 with magna cum laude), now research associate at King's College London
• Prof. Dr. Bertrand Perrat (ML PDRA in the Rights Lab), now Assistant Professor in Business Analytics at Nottingham University
• Prof. Dr. Nicolò Navarin (ML PDRA in the Rights Lab), now Assistant Professor in Computer Science at the University of Padova

University of Bonn / Fraunhofer IAIS (until 2015)

• Dr. Katrin Ullrich (supervised PhD candidate, thesis completed'21), now at Fraunhofer IWU
• Dr. Michael Kamp (supervised PhD candidate, thesis completed '19 with magna cum laude), now at CISPA Helmholtz Center for Information Security
• Dr. Daniel Paurat (supervised PhD candidate, thesis completed '17 with magna cum laude), now at Deutsche Telekom Technik
• Dr. Olana Missura (supervised PhD candidate, thesis completed '15 with magna cum laude), now at Google
• Dr. Mario Boley (PhD and later PostDoc, thesis), now at Monash University
• Dr. Tamás Horváth (senior scientist), now at University of Bonn
• Dr. Shankar Vembu (co-supervised PhD, thesis completed '09 with magna cum laude)
• Dr. Maike Krause-Trudes (PostDoc)
• Prof. Dr. Ulf Brefeld (PostDoc), now Professor for Machine Learning at Leuphana Universität Lüneburg
• Prof. Dr. Roman Garnett PostDoc, now Assistant Professor at Washington University in St. Louis