I am currently working on my Master’s thesis on efficient deep neural networks for resource-constrained embedded computer vision applications. Previously, I have earned my BSc in Computational Science at ETH Zurich and spent several years working as an independent contractor for industrial embedded software and hardware.
In my current research I focus on neural network compression techniques that aim to enable complex neural network inference directly on low-power devices through reduced compute requirements and efficient memory access patterns. Further, I am also interested in the co-design of algorithms and novel hardware accelerators.
MSc in Computational Science and Engineering, 2019
BSc in Computational Science and Engineering, 2017