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Displaying 5 of 5 results bioinformatics clear

Clemens Kühn Member since: Fri, Apr 07, 2017 at 12:37 PM

PhD theoretical Biophysics, Msc Bioinformatics, Bsc Bioinformatics

Sathish Periyasamy Member since: Sat, Sep 07, 2013 at 08:46 PM

B.Sc Natural Sciences, M.Sc Information Technology, PhD Bioinformatics & Systems Biology

Robert Zakrzewski Member since: Tue, Oct 13, 2015 at 02:46 PM Full Member Reviewer

B.Sc. Bioinformatics

Ken Buetow Member since: Thu, Nov 15, 2018 at 05:24 PM Full Member

PhD, Human Genetics, University of Pittsburgh, MS, Human Genetics, University of Pitttsburgh, BA, Biology, Indiana University

Ken Buetow is a human genetics and genomics researcher who leverages computational tools to understand complex traits such as cancer, liver disease, and obesity. He currently serves as director of Computational Sciences and Informatics program for Complex Adaptive Systems at Arizona State University (CAS@ASU), is a professor in the School of Life Sciences in ASU’s College of Liberal Arts and Sciences; is a core faculty in the Center for Evolution and Medicine in the Biodesign Institute at ASU; and is director of bioinformatics and data management for the National Biomarker Development Alliance.

Professor Buetow previously served as the Founding Director of the Center for Biomedical Informatics and Information Technology within the National Institutes of Health’s National Cancer Institute.

Audrey Lustig Member since: Thu, Jul 18, 2013 at 10:49 PM

PhD Candidate - Ecological Modelling and complex system - Lincoln University, New Zealand, Master's in computer science and modelling complex systems - ENS Lyon, France, Bioinformatics and Modeling Engineering - INSA Lyon, France

I am strongly interested in ecological modeling and complex system and truly enjoyed working with a variety of tools to uncover patterns in empirical data and explore their ecological and evolutionary consequences. My primary research is to conduct research in the field of ‘ecological complexity’, including the development of appropriate descriptive measure to quantify the structural, spatial and temporal complexity of ecosystem and the identification of the mechanism that generate this complexity, through modeling and field studies.
Currently investigated is how biological characteristics of invasive species (dispersal strategies and demographic processes) interact with abiotic variables and resource distribution to determine establishment success and spread in a complex heterogeneous environment (Individual based modelling integrated with GIS technologies).

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