I received my MSc degree in computer science from the University of Debrecen (UD), in 2010. I am a doctorate candidate researcher and assistant lecturer at Faculty of Informatics(UD). I won several grants and prizes (XXX-th National Scientific Students’ Associations in Hungary, special prize; Best poster award, 3rd place: High Performance Computing with Mathematical Applications (WSPS2013); Scientific Publication of the Year Prize, UD(2012);“János Csere Apáczai” PhD scholarship of the National Excellence Program; “Ányos Jedlik” PhD candidate scholarship of the National Excellence Program; PRACE Summer of High Performance Computing Program, NVIDIA Academic Hardware Grant). I was included in several projects (OTKA, NK101680, Mathematical modelling of clinical observations for improved melanoma detection, HURO/1001/283/2.3.1; Cross border academic development of an image-based recommendation system for regional educational purposes, TECH08-2 grant of the Hungarian National Office for Research and Technology, DRSCREEN – Developing a computer-based image processing system for diabetic retinopathy screening; SCOPIA: Development of software supported clinical devices based on endoscope technology ). I am a member of the IEEE, John von Neumann Computer Society and of the Hungarian Association for Image Analysis and Pattern Recognition. In 2015 I researched at Extreme Computing Research Group, Barcelona Supercomputer Center (BSC), Barcelona, Spain and IT4I Check National Supercomputing Center at VSB – Technical University of Ostrava about new method of massive parallelization matrix computations and medical image segmentation and visualization. I have authored/co-authored 2 patents, 3 journal papers, 11 conference papers and 2 posters, 3 abstracts. My main interest lies in high performance and grid computing extended with coprocessors involving the field of medical imaging fusion models, number theory and bioinformatics applications help with massive parallelization.