alexa Verification Of Systems Biology Research In The Age Of Collaborative-competition
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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2nd International Summit on Integrative Biology
August 04-05, 2014 Hilton-Chicago/Northbrook, Chicago, USA

Iskandar Anita
ScientificTracks Abstracts: J Comput Sci Syst Biol
DOI: 10.4172/0974-7230.S1.006
Abstract
Alessander Danna-dos-Santos is a Brazilian trained physical therapist who has completed his PhD in human motor control at the age of 33 years from The Penn State University and postdoctoral studies from Arizona State University School of Kinesiology. He is the co-director of the Motor Control Laboratory and director of the Anatomy Laboratory of the School of Physical Therapy of the University of Montana. He has published in reputed journals such the Journal of Neurophysiology and Experimental Brain Research and his studies are applicable to both areas of basic and clinical sciences.
Biography
Iskandar Anita is a cell-signaling scientist at Philip Morris International (PMI) R&D in the Systems Toxicology team that focuses on product testing using in vitro / in vivo modelsand systems biology approaches. She received her Bachelor?s degree from Boston University in Biochemistry and Molecular Biology and a PhD in Biochemical and Molecular Nutrition from Tufts University, Boston, MA.She proceeded witha postdoctoral training at the USDA Human Nutrition Research Center on Aging at Tufts University. At PMI R&D, she contributedto the construction of biologicalnetwork models that were part of the Network Verification Challenge (NVC) of the sbvIMPROVER (system biology verification: Industrial Methodology for PROcessVErification in Research; www.sbvimprover.com), a project led and funded by PMI R&D. The sbv IMPROVER is a collaborative project designed to enable scientists to learn about and contribute to the development of crowd-sourcing methods for verification of scientific data and results. It is a challenge-based program that aims to provide a measure of quality control in industrial research and development by verifying the methods used.
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