Kheloud Mohammed Hamad Alhamoudi

Dr. Kheloud Alhamoudi is an Associate Scientist with a strong expertise in genetics and genome biology, particularly in identifying and analysing genes and genetic variants associated with a wide range of human diseases. During her doctoral and postdoctoral research, she focused primarily on cancer, cardiovascular genetics, and rare diseases.

Currently, her research is on molecular and genetic investigations, including the identification and analysis of genes and genetic variants associated with endocrine disorders and thyroid cancer.

She aims to understand the molecular basis of endocrine-related genetic conditions and thyroid malignancies through genomic profiling. Her main focus is on uncovering the genetic basis of disease, particularly endocrine disorders, with a commitment to advancing genomic research and supporting the translation of genetic discoveries into meaningful clinical and scientific applications.

Additionally, she serves as an Adjunct Assistant Professor at Alfaisal University and as a primary reviewer for the Basic Research Committee at KFSHRC.

Designing studies and experiments in the field of genetics and molecular biology

Conducting molecular and genetic investigations

Interpreting genomic data

Cell culture

Cytogenetics

Bioinformatics

Dr. Kheloud Alhamoudi is a highly motivated scientist with advanced expertise in human genetics, genome biology, and bioinformatics, with over 10 years of experience in medical genetics research. She began her career at King Saud University, where she gained foundational experience in molecular techniques, before joining King Abdullah International Medical Research Center (KAIMRC) as a postdoctoral researcher focusing on rare diseases. She later moved to KFSHRC, where she worked in the Molecular Endocrinology Department, further expanding her expertise in endocrine-related genetic disorders. She holds a PhD in Genetics and Genome Biology and an MSc in Molecular Genetics from the University of Leicester, UK. Her work integrates laboratory and computational and bioinformatics approaches to investigate the genetic basis of complex diseases and support translational research.