Hannes Hauswedell
Hannes Hauswedell obtained B.Sc. and M.Sc. degrees in Bioinformatics from Freie Universität Berlin, but he also spent some time studying in Uppsala, Sweden and in Shanghai, China. Currently he is doing his Ph.D. between the Max Planck Institute for Molecular Genetics and Freie Universität Berlin where he also teaches. Outside of work he enjoys mountains and the sea.
Jongkyu Kim
Jongkyu Kim is a Ph.D. student at International Max Planck Research School for Computational Biology and Scientific Computing (IMPRS-CBSC). His main interests are efficient algorithms for biomedical data analysis using high-performance computing. He was a software engineer at Samsung Electronics where he contributed to GPU-based computer vision systems for semiconductor inspection. He got M.S. from Seoul National University and studied non-coding RNAs and cancer genomics. Currently, he is working on identification of structural variations in genomes.
Jörg Winkler
Jörg Winkler works on algorithms for finding RNA sequence-structure motifs. As a Ph.D. candidate at the IMPRS-CBSC he is connected with Max Planck Institute for Molecular Genetics as well as Freie Universität Berlin. He holds a M.Sc. degree in Bioinformatics from University of Hamburg and he is generally interested in nature and sustainability.
Knut Reinert
Head of the group. My research is influenced by the training I received as an algorithmicist at the Max-Planck-Institute for Computer Science in Saarbrücken, Germany and by my subsequent research as a senior scientist at Celera Genomics in Rockville, MD, USA. I aim to enable translational research in computationally based life sciences by removing existing (communication) gaps between theoretical algorithmicists, statisticians, programmers, and users in the biomedical field.I obtained my Diploma in Computer Science from Saarbrücken University and my PhD from the Max-Planck-Institute for Computer Science in Saarbrücken.
Lydia Buntrock
Lydia is working on algorithms to find and classify structural variations of DNA. Funded by the BMBF, she is doing her PhD at the Free University of Berlin. She is curious about mathematics and its connection to nature.
Website: www.irallia.de
Mitra Darvish
Mitra Darvish is a PhD student at the Max Planck Institute of Molecular
Genetics and works on finding cancer motifs in large NGS data sets using
probabilistic data structures and compression strategies. She obtained her
Bachelor of Science and her Master of Science in Bioinformatics from the
Freie Universität Berlin, but she also spent parts of her studies at the
University of Helsinki and at the University of Oxford. Outside of work,
she enjoys reading and tries to find the best ice cream parlour in Berlin.
Gianvito Urgese
Gianvito Urgese is Ph.D. student at the Dept. of Control and Computer Engineering of Politecnico di Torino. He received his M.Sc. degree (summa cum laude) in Electrical Engineering at Politecnico di Torino. He designed, during his M.Sc. thesis, an optimized HW accelerator for sequence alignment, implemented in VHDL on a systolic array architecture. He was, in 2011, research trainee at Teseo S.p.A. involved in the design of a system for structural health monitoring in composite materials. In 2008 he collaborate with the INRIM institute for a project concerning the redefinition of Boltzmann constant. His research interests focus on: (i) Research and design of optimized task-specific bioinformatics algorithms; (ii) Development of tools for the study of non coding biological sequences (miRNA, siRNA and lncRNA); (iii) Design of heterogeneous SW/HW architectures to accelerate bioinformatics algorithms, including parallel implementation on FPGA and GPU; (iv) Design of partitioning and placement algorithms to map Spiking Neural Networks in the SpiNNaker neuromorphic platform
Christopher Pockrandt
Christopher Pockrandt holds B.Sc. and M.Sc. degress in Computer Science from Freie Universität Berlin. He spent part of his studies at the National University of Singapore and the National Taiwan University. As an IMPRS student of the Max Planck Institute of Molecular Genetics he is currently doing his Ph.D. in bioinformatics focussing on string indices (especially the FMIndex) with applications in lncRNA search.
Temesgen Dadi
Temesgen H. Dadi works in Comparative metagenomics of microbial communities using machine learning methods. He graduated from Arba Minch University, Ethiopia in Computer Science and IT (B.Sc.) and
received his Masters degree from University of Trento, Italy in Bioinformatics. Currently he woks in the InfectControl 2020 project with partners from the VetMed department.
