Profile
Statistics

Amarda Shehu

Bio

Dr. Amarda Shehu is an Associate Professor in the Department of Computer Science at George Mason University. She holds affiliated appointments in the School of Systems Biology and the Department of Bioengineering at George Mason University. She received her B.S. in Computer Science and Mathematics from Clarkson University in Potsdam, NY in 2002 and her Ph.D. in Computer Science from Rice University in Houston, TX in 2008, where she was an NIH fellow of the Nanobiology Training Program of the Gulf Coast Consortia. 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 in 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. Shehu is also the recipient of an NSF CAREER award in 2012.

Research Fields

Simulation and Modelling

Pre Publication Reviews

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Reviews

90

Reviews (last 12 months)

22

Reviews (average per year)

16

Merit

270

Openness

0.0%


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Amarda Shehu has reviewed for.

Amarda Shehu

All fields reviewers

Total reviews over time

A cumulative record of Amarda Shehu's total number of reviews.

Reviews per month

The total number of reviews performed by Amarda Shehu each month.

Average review length

The average number of words per review compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Note: only reviews with associated content are included in the graph below and where content is present we can not guarantee that it is complete or truly the content of the review.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.