Temesgen Dadi

Biography:

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.

Marcel Erhardt

Biography:
Marcel will work on parallelizing SeqAn using vectorization and multicore parallelism.

Hannes Hauswedell

Biography:

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

Biography:

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.

Svenja Mehringer

Biography:

Svenja Mehringer holds a B.Sc. degree in Bioinformatics from Freie Universität Berlin and is continuing her studies in Bioinformatics to obtain her M.Sc. degree. She is working as a student assistant for the CIBI project and as a member of the SeqAn team.

Kerstin Neubert

Biography:

Kerstin Neubert develops applications for the characterization of microbial species in environmental samples based on metagenomic and peptide profiling. She holds a BSc and Msc degree in Bioinformatics from the Freie Universität Berlin and works in the Ess-B.A.R. project.

Chenxu Pan

Biography:

Christopher Pockrandt

Biography:

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.

René Rahn

Biography:

René Rahn works on data parallel data structures in SeqAn. He holds a MSc and BSc degree from the Freie Universität Berlin and works for the CIBI project as one of the senior maintainers of SeqAn.

Knut Reinert

Biography:

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.

Jörg Winkler

Biography:

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.

Birte Kehr

Biography:

Dr. Birte Kehr works at deCode Genetics in Iceland.

Enrico Siragusa

Biography:

Enrico finished his PhD in 2015 with work in SeqAn and now works at IBM Research in New York City.

Kathrin Trappe

Biography:

Kathrin Trappe is PhD student in Bernhard Renards lab

Gianvito Urgese

Biography:

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

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