Dr. Hala Alshamlan is an Assistant Professor in Information Technology Department in the College of Computer and Information Sciences at King Saud University (KSU). She is interested in data science and big data analytics. Dr. Hala's research focuses on Bioinformatics especially on how apply Artificial Intelligence techniques and machine learning approaches to analyze biological data. She developed many novel algorithms that discover the cancer biomarker from genomic data. All these algorithms have been published on high impact journals. 

 

    In 2014, Dr.Hala was a visiting scholar invited by Prof. Mark Borodovsky in Center of Bioinformatics and Computational Genomic at Georgia Tech, Atlanta, USA. She holds a PhD in Computer Science from King Saud University in 2015. From 2016 to 2017, Dr. Hala was a Research Fellow at the Kamm Lab in the Mechanical Engineering Department at Massachusetts Institute of Technology (MIT), Cambridge, USA.

 
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of nding...
Several hybrid gene selection algorithms for cancer classication that employ bio-inspired evolutionary wrapper algorithm have been proposed in the literature and show good classication...