When I am not working, I very much enjoy playing video games, playing the piano and the electric guitar, baking (in particular breads!) and cooking, watching movies and tv series (especially sci-fi and fantasy), hiking, reading, and Yoga.
2024 - now: Marie Curie Research Fellow.
I work as a research fellow at the University of Vienna in the group of Philipp Petersen, diving into the theory of machine learning while expanding my previous work.
2021 - 2024: Internal Research Fellow in AI.
I work as a research fellow at ESA's Advanced Concepts Team, researching bio-inspired AI methods and methods enabling self-configuring systems for space applications.
2020 - 2021: AI Residency Researcher.
I worked as a resident at the Siemens AI lab in Munich, where I developed graph-based neuromorphic methods for cybersecurity applications.
2017 - 2018: Guest Researcher.
Senn group for computational neuroscience, University of Bern. Stayed for six months with a continuing collaboration and regular visits afterwards during my PhD.
2016 - 2020: Doctoral Researcher.
Petrovici group for neuro-inspired theory, modeling and applications and Meier/Schemmel group for neuromorphic computing, Heidelberg University.
2016 - 2020: Dr. rer. nat., Heidelberg Graduate School for Physics, Heidelberg University, Germany.
Thesis: Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates.
2014 - 2016: M. Sc. in Physics, Heidelberg University, Germany.
Thesis: Stochastic Computation in Spiking Neural Networks Without Noise.
2010 - 2014: B. Sc. in Physics, Heidelberg University, Germany.
Thesis: Energy Conservation in Fano Spectral Line Shape Control.
2023: Marie Sklodowska-Curie Action Postdoctoral Fellowship.
2021: Research Fellowship by the European Space Agency (ESA).
2019: First prize in the finals of the 2019 International Collegiate Competition for Brain-Inspired Computing (ICCBC 2019) at Tsinghua University in Beijing, China.
2019: Selected and invited to participate in the first Neuro-inspired Computation Course by the International Research Center for Neurointelligence (IRCN), the University of Tokyo, Japan.
Zacharia A. Rudge
Novel Memristor-based Neural Network Accelerators for Space Applications.
PhD thesis, ESA ESTEC & TU Delft.
Nadezhda Dobreva
Self-configuring cube ensembles.
Internship, ESA ESTEC.
Amy Thomas
Totimorphic Structures for Space Applications.
Young Graduate Trainee, ESA ESTEC (2024).
Afterwards: PhD at TU Delft.
India Walford
Novel Neural Network Architectures for Spacecraft Autonomy.
Internship & Master's thesis, ESA ESTEC & University College London (2023).
Afterwards: PhD at TU Delft.
Victor Caceres Chian
Towards the integration of graph neural networks into neuromorphic architectures.
Master's thesis, TU Munich (2021).
Afterwards: Machine Learning Consultant.
Maximilian Zenk
Spatio-temporal predictions with spiking neural networks.
Master's thesis, Heidelberg University (2018).
Afterwards: PhD at DKFZ Heidelberg.
Editor of Springer Astrodynamics' Special issue on spAIce 2024: One small step for AI in and for space.
Editor of the proceedings of ESA's SPAICE Conference (2024) on AI in and for Space.
Chair of the scientific committee of ESA's SPAICE Conference (2024) on AI in and for Space.
Member and advisory editor of the Italian Association of Aeronautics and Astronautics (AIDAA) Scientific Committee.
Reviewer for the journal npj Microgravity (Nature).
Reviewer for the journal Physical Review Research (PRR, APS physics).
Co-organiser of the Artificial Intelligence Application session of the Italian Association of Aeronautics and Astronautics (AIDAA) XXVII International Congress.
Session chair at the first workshop on Linguistics and Graphs for Space (LING4S) at ESA, ESTEC.
Member of the Technical Program Committee of the IJCNN 2023 conference.
Chair of the session "Graph Based Methods" at the ICMLA 2021 conference.
Reviewer for the ICANN 2021 conference.