Malik Yousef is a data scientist, with focus on bioinformatics with applications to various biomedical/biological problems. He have experience in purely research environments as well as positions with significant teaching responsibilities and he is very comfortable in either environment. He have with significant expertise in machine learning and it applications ranging from gene expression studies to developing algorithms to predict miRNAs and their targets and more recently, to text mining applied to microRNA PubMed articles. His effort in these area are supported by his publication record. He have published more than 40 peer‐reviewed articles in top journals with over 2300 citations and an H-index of 18 and i10-index of 20 (based on Google scholar), his PhD work titled “One-class SVMs for document classification “ has about 970 citation. His research gate score is 27.41 with 3,040 reads, which means that his score is higher than 82.5% of Research Gate members. He have successfully applied for 8 research grants (5 as PI) and He have edited 1 scientific volume Series: Methods in Molecular Biology, Humana Press, USA (Part of the Springer publishing group which has been successful with more than 50,000 downloads since its publication in 2014). He have one book published by: VDM Verlag, Germany, He have also contributed 2 chapters in books on MicroRNA Biology, Computational Analysis and Systems and Computational Biology. His international experience includes 3 years as a postdoc at The Wistar Institute, Cancer Center, USA [Prof Louise Showe Cancer Biology lab] and one year at the University of Pennsylvania [UPENN-Bioinformatics Center], where he contributed to development machine-learning algorithms for microRNA gene and target prediction, gene expression classification and gene selection. Additionally, He is a co-inventor on two US Patents.
Malik Yousef Research Interests are Bioinformatics, Machine Learning.