Full Name: Mario Alfy Fahmy AbdelMessih
Current address: Viale Carlo Felice, 63, B2, 00185 Roma, Italy
Permanent Address: Ramsis St, Naseem Salama Building, Second Floor,85952 Luxor, Egypt
Date of Birth: Sept, 1988
Machine Learning, Data Mining, Artificial Intelligence, Bioinformatics, Structural Biology, Protein Structure and Function, Antibody Structure.
PhD in Life Sciences, Sapienza University of Rome, Physics Department, Italy.
|Jan, 2016 (expected)|
|MS in Computer Science (Bioinformatics), King Abdullah University of Science and technology (KAUST), KSA. (GPA: 3.6/4.0 ”honor list”)
Thesis: A New Outlier Detection Method for Multidimensional Datasets with application to Redundancy Reduction.
Supervisor: Professor Vladimir Bajic.
|BS in Computer Science, The American University in Cairo (AUC), Egypt. (GPA: 3.6/4.0”Dean’s list”).
Thesis: Real Time, Multi-object Tracking System Using GPU with application to Interactive Gaming.
Supervisor: Professor Joshua Gluckman.
Professional: R – C/C++ - MATLAB.
BASIC: Python – Perl – Java – Hadoop – HTML – XML .
OS: Linux – Windows – OSX.
Languages: English – Arabic.
Softwares: Pymol – Modeller – Biopython – BLAST – HMMER – LGA – CD Hit.
 Messih MA, Chitale M, Bajic V, Kihara D and Gao X. Protein domain recurrence and order can enhance prediction of protein functions. (2012) Bioinformatics 28(18) i444-i450.
 Messih MA, Lepore R, Marcatili P, Tramontano A. Improving the accuracy of the structure prediction of the third hypervariable of the heavy chain of antibodies. (2014) Bioinformatics 30(19) 2733-40.
M. Messih, M. Chitale, V. Bajic, D. Kihara and X. Gao. Protein domain recurrence and order can enhance prediction of protein functions. The 11th European Conference on Computational Biology (ECCB2012). Basel, Switzerland, September 2012. (Acceptance rate 14%).
 Messih MA, Lepore R, Marcatili P, Tramontano A. Structure prediction of antibody hypervariable H3 loops using random forest. (2014) Societa di Bioinformatics Italiana (Bits annual meeting).
 Messih MA, Lepore R, Marcatili P, Tramontano A. Improving the accuracy for the structure prediction of antibody hypervariable H3 loops using random forest. (2015) Biology and Molecular Medicine symposium (BEMM annual meeting).