Paweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland. He is also leading an open-source project called TensorHive, which aims for developing a lightweight computing resource management tool for distributed deep neural network training. His previous works include introducing KernelHive, a framework for automatic parallelization of computations across multi-level heterogeneous HPC systems with CPUs and GPUs and co-developing MERPSYS, an environment for modeling and simulation of large-scale parallel application execution. His main research area is optimization of parallel applications, recently focusing on deep neural network training.