Dr. Reda Rawi

 Reda Rawi
Postdoctoral researcher
Data Analytics

Connect with me

 
 
Joining the first Computational Biology Research Group at Qatar Foundation and significantly contributing to QCRI’s growth and goals; Setting up collaborations with experimental labs in Qatar (e.g. Qatar Biomedical Research Institute, Weill Cornell Medical College) and worldwide (e.g. MIT, Purdue University)

Research Focus at QCRI

 
  • Analysis of Functional Genomics data from human and model systems, especially functional Genome-wide Association Studies (GWAS)
  • Protein Function/Structure Prediction
  • Protein-DNA Interaction Prediction
  • Protein and Ligand Design

Previous Experience

 
  • Evolutionary Algorithm Design
  • Evolutionary Computational Protein Design
  • Protein Sequence Analysis
  • Protein Structure Prediction
  • Webpage Design for Scientific issue: CHOYCE (http://choyce.ismb.lon.ac.uk)

Professional Experience

 
  • University of Duisburg-Essen, Centre for Medical Biotechnology, Bioinformatics Group, Research Associate, 2008-2013
  • University of Duisburg-Essen, Centre for Medical Biotechnology, Teaching Associate, 2009-2013
  • Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Department of Simulation Engineering, Computational Chemistry Group, Research Associate, 2006-2007
  • University of Cologne, Center for Applied Sciences, Research Associate, 2004-2005

Professional Associations and Awards

 

Education

 
  • PhD, Bioinformatics, University of Duisburg-Essen, Centre for Medical Biotechnology, Germany, 2013
  • MSc, Bioinformatics and Systems Biology, Birkbeck College, University of London, United Kingdom, 2008
  • Diploma, Biomathematics, University of Applied Science Remagen, Germany, 2007

Selected Research

 
  • Mohammed El Anbari, Nawel Nemmour, Othmane Bouhali, Ali Sheharyar, Reda Rawi, and Halima Bensmail, “Computational Neuro-Modeling of Visual Memory: Multimodal Imaging and Analysis”, International Conference on Brain Informatics and Health 2014, (submitted)
  • Yan Wang, Reda Rawi, Daniel Hoffmann, Binlian Sun, Rongge Yang, “Inference of Global HIV-1 Sequence Patterns and Preliminary Feature Analysis”, VIROLOGICA SINICA 2013, 28 (4): 228-238
  • Wang Y.*, Rawi R.*, Wilms C., Heider D., Yang R., Hoffmann D., “A small set of succinct signature patterns distinguishes Chinese and non-Chinese HIV-1 genomes”, PLOS ONE 2013, 8, 3, e58804
  • Rawi R., Whitmore L., Topf M., “CHOYCE: a web server for constrained homology modelling with cryoEM maps”, Bioinformatics 2010, 26, 16, 1673-4

Connect with me

 
 

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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

2019

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“The Future of Higher Education in the Age of Technological Disruption” by CMU President Dr. Farnam Jahanian

Download ICS File 24/03/2019 ,

Dr. Farnam Jahanian, the President of Carnegie Mellon University, will deliver a public lecture, “The Future of Higher Education in the Age of Technological Disruption” at CMU’s Qatar campus on Sunday, March 24.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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News Releases

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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