A globally recognized scholar and leading researcher in Biochemistry, Biotechnology and Bioinformatics. She has dedicated over a decade to advancing scientific knowledge and pushing the boundaries of Molecular Biology at King Saud University. Her impactful research, evidenced by over 150 publications in highly ranked ISI journals and inclusion in Stanford University's top 2% scientists list in a row (2020-2023). She has not only garnered international acclaim but has also significantly contributed to drug discovery, development, understanding disease mechanisms and toxicity.
As a Full Professor at King Saud University, she has cultivated a distinguished career marked by academic leadership, impactful mentorship, and unwavering commitment to excellence. Since 2011, she has guided numerous undergraduate, graduate, and Ph.D. students, fostering their academic growth and research aspirations. Her dedication extends beyond the classroom, as evidenced by her active involvement through Department and college committees, shaping academic programs and contributing to institutional progress.
Driven by a passion for knowledge exchange and global collaboration, she has actively bridged academia and community service throughout her tenure at King Saud University. Her research collaborations extend beyond borders, enriching her contribution to science and fostering interdisciplinary perspectives. Furthermore, her role as coordinator of the Indian Education Forum has facilitated impactful Indo-Saudi educational initiatives.
The course is for Ph.D. students, where they know about the recent advances in metabolism by targeting Warburg effect, lipid metabolism and protein metabolic pathways in cancers and other diseases…
This course is designed to provide Post graduate PhD students familiarity with biological principles and modern approaches for the use of transcription activator-like effector nucleases (TALENs…
In this course PhD students will learn recent aspects of applied Bioinformatics to be used for molecular genetics, metagenomics, phylogenetics, multiple alignments, NGS data analysis, SNP…