Enrico Seiler


Evelin Aasna


Evelin is studying at the Freie Universität Berlin to obtain her M.Sc. in Bioinformatics and working as a student assistant for the FONDA project.

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

Marcel Ehrhardt

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

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.

René Rahn


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.

Simon Sasse


Simon works as a student assistant at SeqAn and is currently writing his bachelor thesis at BIH at Charite Berlin.

Sven BÖnigk


Sven obtained M.Sc in Bioinformatics from Freie Universität Berlin.
Currently he is working as a student assistant,
while pursuing my Ph.D. with a focus on approximate string matching and
applying it for read mapping.

Svenja Mehringer


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.

Birte Kehr


Dr. Birte Kehr works at deCode Genetics in Iceland.

Enrico Siragusa


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

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

Kathrin Trappe


Kathrin Trappe is PhD student in Bernhard Renards lab

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