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

Energy, Climate & Environment

DDForms

Completed

Data driven fast optimization of resonant metamaterial structures

DeepEphys

Completed

Using machine learning for biomarker discovery in human iPSC neuronal networks

Biomedical Data Science

SenseDynamics

Completed

Predicting aerodynamics forces from sensor data

Publications

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"192.0285–298

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"204.0e1011964

Donner, C.; Mishra, A.; Shimazaki, H."A projected nonlinear state-space model for forecasting time series signals"

Dedoncker, S.; Donner, C.; Taenzer, L.; Van Damme, B."Generative inverse design of multimodal resonant structures for locally resonant metamaterials"

Dedoncker, S.; Donner, C.; Taenzer, L.; Van Damme, B."Optimization of resonant absorbers for passive vibration control: a numerical approach and its experimental validation"

Donner, C.; Tagasovska, N.; He, G.; Mulleners, K.; Shimazaki, H.; Obozinski, G."Learning interpretable latent dynamics for a 2D airfoil system"

Mentioned in

December 15, 2020

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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Case Studies

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