Christian Hundt

Christian Hundt received his diploma degree in theoretical physics at the Johannes Gutenberg University (JGU) in Mainz, Germany. In his PhD thesis, he investigated the parallelization of time-series data mining algorithms on massively parallel architectures. As postdoctoral researcher at the Parallel and Distributed Architectures group, he focused on the efficient parallelization of various biomedical applications such as context-aware metagenomic classification, gene-set enrichment analysis, and deep semantic-image segmentation of thorax MRIs. In his current position as a deep learning solutions architect, he coordinates the technical aspects of the NVIDIA AI Technology Center (NVAITC) collaboration in Luxembourg.

Posts by Christian Hundt

Data Science

Aligning Time Series at the Speed of Light

In this blog, we introduce rapidAligner – a CUDA-accelerated library to align a short time series snippet (query) in an exceedingly long stream of time series… 10 MIN READ
AI / Deep Learning

Streaming Interactive Deep Learning Applications at Peak Performance

Imagine that you have just finished implementing an awesome, interactive, deep learning pipeline on your NVIDIA-accelerated data science workstation using… 12 MIN READ