October 21, 2015, Messe Congress Graz

In January 2014 the department of “Computer Science and Biomedical Engineering” at TU Graz was born: Four biomedical institutes joined forces with the Faculty of Computer Science in order to push science within the Computational Life Sciences forward and to evolve “CONVERGENCE” as THE new research model across disciplines.
We now invite researchers and practitioners interested in Computational Life Sciences with diverse backgrounds (such as biology and other natural sciences, computer science, medicine, and engineering) to join us at our 1st Computational Life Sciences Day in Graz. We will present inspiring talks by renowned international Computational Life Sciences researchers, show highlights of award-winning faculty members, and provide an opportunity to discuss, reflect, and enjoy.
Be part of the nation-wide community of Computational Life Sciences and help us to develop convergence at a scale that will be truly transformative.

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Luciano Floridi

Keynote on “Big Data“ co-located with i-KNOW


University of Oxford, Luciano Floridi is Professor of Philosophy and Ethics of Information at the University of Oxford, Senior Research Fellow and Director of Research at the Oxford Internet Institute, and Governing Body Fellow of St Cross College, Oxford. He is also Adjunct Professor, Department of Economics, American University, Washington D.C.

Find more information about his keynote here.

Jasmin Fisher

Computational-Life-Sciences-Day_Jasmin-FischerJasmin Fisher
University of Cambridge, Senior Researcher at Microsoft Research Cambridge in the Programming Principles and Tools group, Research Group Leader at the Department of Biochemistry in University of Cambridge,
Member of Cambridge Cancer Centre and Cambridge Systems Biology Centre.

Abstract: Computing Cancer

Cancer is a highly complex aberrant cellular state where mutations impact a multitude of signalling pathways operating in different cell types. In recent years it has become apparent that in order to understand and fight cancer, it must be viewed as a system, rather than as a set of cellular activities. This mind shift calls for new techniques that will allow us to investigate cancer as a holistic system. In this talk, I will discuss some of the  progress made towards achieving such a system-level understanding using computer modelling of biological  behaviours, also known as Executable Biology. I will concentrate on our recent attempts to better understand cancer through the following examples: 1) drug target optimization for Chronic Myeloid Leukaemia using an innovative platform called BioModelAnalyzer, which allows to prove stabilization of biological systems; 2) dynamic hybrid modelling of Glioblastoma (brain tumour) development; 3) state-based modelling of cancer signalling pathways and their analysis using model-checking; and 4) synthesis of blood stem cell programs from single-cell gene expression data. Looking forward, I will propose a grand challenge for computing and biology that could shed new light on our ability to control cell fates during development and disease and potentially change the way we treat cancer in the future.


Dr Jasmin Fisher is a Senior Researcher at Microsoft Research Cambridge and a Reader (Associate Professor) at the Department of Biochemistry in Cambridge University. She received her PhD in Neuroimmunology from the Weizmann Institute of Science in Israel in 2003. Jasmin has devoted her career to developing methods for Executable Biology, including computer programs and tools for systems-level modelling and analysis of biological systems. Her work has inspired the design of many biological studies. Current research in her group focuses on modelling the molecular mechanisms underlying cancer and using these computational models to guide the development of novel drug therapies. For this purpose, they have developed a variety of approaches based on computer program analysis techniques for modelling molecular networks, including network synthesis from single-cell gene expression data, and the study of network dynamics using the BioModelAnalyzer (BMA) tool, currently also in use by the pharmaceutical industry.

Sebastian Kozerke

Computational-Life-Sciences-Day_Sebastian-KozerkeSebastian Kozerke
University of Zurich, Leader of the Cardiovascular MR research at the ETH Zurich, Co-founded of the startup company GyroTools Ltd, Professor of Biomedical Imaging at the Department of Information Technology and the Medical and Natural Sciences faculties of the University of Zurich Electrical Engineering.

Abstract: From Spin to Picture to Computational Models – Biomedical Imaging of Failing Hearts

Biomedical Imaging technology has become a cornerstone of medical diagnostics and basic clinical research. Among the various imaging modalities, Magnetic Resonance imaging stands out as it provides outstanding soft tissue contrast and allows encoding a range of functional information in a non-invasive fashion and without the use of ionizing radiation.
This talk will introduce advanced concepts of information encoding using the Magnetic Resonance imaging principle. It is demonstrated that images from highly undersampled data can successfully be reconstructed using appropriate prior knowledge. To this end, higher dimensional information can be encoded to obtain very comprehensive anatomical and functional views of the human heart. Beyond diagnostic imaging, in-vivo data-driven biomechanical modeling has advanced significantly to enable predication of disease progression based on an individual patient’s data opening up new avenues for personalized medicine and treatment of heart disease.

Short Bio

Sebastian Kozerke is a Professor of Biomedical Imaging at the Institute for Biomedical Engineering of the University and ETH Zurich. Sebastian studied Electrical and Biomedical Engineering and obtained his PhD degree and the Venia legendi from ETH Zurich in 2000 and 2005, respectively. In 2002-03 he was a research associate at the Division of Imaging Sciences at King’s College London. In 2003 he co-founded the startup company GyroTools to help translating imaging research into applicable prototypes for Magnetic Resonance (MR) experimentalists and clinicians. He was elected as a Professor and Chair of MR physics at King’s College London in 2008 before being promoted to Professor at the University of Zurich in 2010. In October 2014 he joined ETH as full Professor holding a dual appointment also at the Medical and Natural Sciences faculty of the University of Zurich. He is the chairman of EXCITE Zurich, a joint competence center to promote the development and application of experimental and clinical imaging technologies.

Sebastian is the author of more than 170 peer-reviewed journal articles and 5 patents. He is a dedicated and enthusiastic teacher and enjoys frequent invitations to the major conferences and workshops in the field. Besides awards for his research, he also received the “Outstanding Teacher Award” of the International Society for Magnetic Resonance.


Computational-Life-Sciences-Day_PockERC & START Prize Winner Thomas Pock
Convex Optimization Approaches
for Computer Vision

Computational-Life-Sciences-Day_HolzapfelSTART Prize Winner Gerhard A. Holzapfel
Computational Biomechanics: State of the Art
and Future Challenges

Computational-Life-Sciences-Day_ScharfetterHermann Scharfetter
CONQUER – New contrasts in magnetic
resonance imaging

Computational-Life-Sciences-Day_SchererReinhold Scherer
Brain-Computer Interface Research:
Turn thoughts into actions


Participation at the first Computational Life Sciences Day is free of charge but limited!

Registration is mandatory and we therefore ask you to please register
until October 19, 2015 via http://i-know2015.know-center.tugraz.at/registration/

Please keep in mind that registration for this event does not include admission to the
i-KNOW conference.