SOS Team Members

Sascha Hauck

PhD student

Contact

work +49 6151 16-57 409
fax +49 6151 16-57 241

Work S3/06 228
Merckstrasse 25
64283 Darmstadt

Sascha Hauck joined the Lab as a PhD student in January 2022 and is part of the FlowForLife project funded by Hesse's research promotion programme LOEWE. The general Goal of said project is to develop organ-like three-dimensional cell aggregates represent versatile cellular models for drug development and toxicology assessment. There, he is interested in applying deep learning methods in combination with complex triangulated cell models to analyse the structure and growth of brain and liver tissue.

Prior to that, he received his M.Sc. degree in Theoretical Physics with focus on Quantum Computation and Quantum Inormation Processing from Technische Universität Darmstadt in 2021. His Masters Thesis was focusing on a novel method for optimal transport of atoms confined by a laser trap with non-trivial geometry.

His research topics includes supervised learning with deep neural networks, image analysis, growing neural networks, building realistic cell-models, simulation of heterogene cell aggregates in complex geometries and self-organising systems like the tile assembly model.

Possible Student Projects you can find here .

Completed Student Projects

Chewei Hsu
(Master Thesis -
coop. w. Aptiv)
Hardware-aware Partially-Connected Differential Architecture Search
in embedded Systems
03/2023
Meng Yao
(Master Thesis)
Subpopulation Formation within the Active Brownian Particle Model 01/2023
Roman Frels
(Master Thesis)
Combining Degenerative and Regenerative Methods forConvolutional Neural
Networks
12/2022
Jonas Kahl
(Project Seminar)
GradMax Approach: Generalization for 3D Convolutional Neural Networks 08/2022
Simon Schmidt
(Bachelor Thesis)
Optimal Timing for Neuronal Growth within Artificial Neural Networks 08/2022

Publications

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