Associate Professor, Computer Science
Amarda Shehu holds affiliated appointments in the School of Systems Biology and the Department of Bioengineering at George Mason University. Shehu's research contributions are in computational structural biology, biophysics, and bioinformatics with a focus on issues concerning the relationship between sequence, structure, dynamics, and function of biological molecules. Her research on probabilistic search and optimization algorithms for protein structure modeling is supported by various NSF programs, including Intelligent Information Systems, Computing Core Foundations, and Software Infrastructure.
PhD, Computer Science, Rice University (2008)
MS, Rice University, Computer Science (2004)
BS, Computer Science and Mathematics, Clarkson University (2002)
Faculty Rank: Associate Professor
2015 - 2018 : Collaborative: A plug-and-play software platform of robotics-inspired algorithms for mapping protein structures and motions. Funded by National Science Foundation.
2014 - 2017 : CCF: AF: Small: Novel Stochastic Optimization Algorithms to Advance the Treatment of Dynamic Molecular Systems. Funded by National Science Foundation.
2012 - 2017 : CAREER: Probabilistic Methods for Addressing Complexity and Constraints in Protein Systems. Funded by National Science Foundation.
Artificial Intelligence, Machine Learning, Bioinformatics, Algorithms and Theory of Computation, Robotics, Computational Biophysics, Molecular Modeling
Published on September 3, 2015