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Christian Donner
Christian Donner

Christian Donner

Sr. Data Scientist
Academia
(Alumni)

Christian joined SDSC in 2019 to design data-driven solutions to support academic research projects. His research interests comprise inference of probabilistic models, with a focus on nonparametric models, and stochastic processes. He holds a PhD in Computational Neuroscience from the Technical University Berlin, Germany, a MSc from the Bernstein Center for Computational Neuroscience Berlin, and a BSc in Cognitive Science from the University of Osnabrück, Germany. During the course of his studies, he additionally conducted research at Khalifa University (UAE), Strathclyde University (UK), and the RIKEN Brain Science Institute and the Kyoto University in Japan. Before joining SDSC, he was an intern at Amazon CoreAI in Berlin.

Projects

ADOPT

In Progress
AI for Detecting Ocean Plastic Pollution with Tracking
Energy, Climate & Environment

MLfusion

In Progress
Machine Learning for Disruption Prediction in Tokamaks
Big Science Data

DDForms

Completed
Data driven fast optimization of resonant metamaterial structures
Engineering

DeepEphys

Completed
Using machine learning for biomarker discovery in human iPSC neuronal networks
Biomedical Data Science

SenseDynamics

Completed
Predicting aerodynamics forces from sensor data
Engineering

Publications

Donner, C.; Mishra, A.; Shimazaki, H. "A projected nonlinear state-space model for forecasting time series signals" International Journal of Forecasting 2025 View publication
Hornauer, P.; Prack, G.; Anastasi, N.; Ronchi, S.; Kim, T.; Donner, C.; Fiscella, M.; Borgwardt, K.; Taylor, V.; Jagasia, R. "DeePhys: A machine learning–assisted platform for electrophysiological phenotyping of human neuronal networks" Stem Cell Reports 19 2.0 285–298 2024 View publication
Donner, C.; Bartram, J.; Hornauer, P.; Kim, T.; Roqueiro, D.; Hierlemann, A.; Obozinski, G.; Schröter, M. "Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains" PLOS Computational Biology 20 4.0 e1011964 2024 View publication
Donner, C.; Mishra, A.; Shimazaki, H. "A projected nonlinear state-space model for forecasting time series signals" Preprint 2023 View publication
Dedoncker, S.; Donner, C.; Taenzer, L.; Van Damme, B. "Generative inverse design of multimodal resonant structures for locally resonant metamaterials" Preprint 2023 View publication
Dedoncker, S.; Donner, C.; Taenzer, L.; Van Damme, B. "Optimization of resonant absorbers for passive vibration control: a numerical approach and its experimental validation" Available at SSRN 4266071 2022 View publication
Donner, C.; Tagasovska, N.; He, G.; Mulleners, K.; Shimazaki, H.; Obozinski, G. "Learning interpretable latent dynamics for a 2D airfoil system" RobustML workshop at ICLR 2021 2021 View publication

Mentioned in

December 15, 2020

DeepEphys | Identifying biomarkers of Parkinson's disease with pluripotent stem cells

DeepEphys | Identifying biomarkers of Parkinson's disease with pluripotent stem cells

Parkinson’s disease is a severe neurodegenerative disorder that affects an increasing number of people in the world. Understanding the underlying mechanisms and the neuronal basis of this disease is a key step in the endeavor to develop new therapies.
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