Biography

Dr. Faiza Rao is an Associate Research Professor at the Center to Advance Level Research and Development (SMC-Pvt) Ltd. Her research lies at the intersection of genetics, women’s health, and nutrition, with a particular focus on how natural compounds influence gene expression and reproductive health. Dr. Rao holds a PhD in Genetics from the University of Science and Technology of China and has received several prestigious awards, including a Postdoctoral Fellowship from Xiamen University. She has published extensively in peer-reviewed journals and is an HEC-approved supervisor. In addition, Dr. Rao was awarded a Start-up Research Grant from the Higher Education Commission of Pakistan and is an Editorial Board member of Scientific Reports. She is deeply committed to mentoring the next generation of scientists.

Research Interest

Dr. Faiza Rao’s research interests are diverse and multidisciplinary, reflecting her passion for innovative approaches to understanding genetics, health, and technology.

Director (BSRC)

Associate Research Professor

faizarao@calrd.org

Research Groups

Collaborative research in animals, Insects & Computing
  • Conducting experimental studies on animal and insect models to investigate biological and behavioral phenomena.

  • Exploring the application of computer science in analyzing genetic data, behavior tracking, and modeling complex biological systems.

  • Collaborating with interdisciplinary teams to integrate bioinformatics, artificial intelligence, and computational techniques for advancing biological research.

  • Leading studies on gene expression and environmental interactions in animal and insect systems, with a focus on translational applications in agriculture and health sciences.

Genetics and Reproductive Health
  • Investigating the effects of natural compounds on oxidative stress-related infertility.

  • Exploring the role of SNPs in genes associated with reproduction.

  • Studying the impact of nutrition and nutraceuticals on epigenetic modifications in reproductive health.

  • Utilizing bioinformatics tools like Galaxy, KNIME, and GenePattern for data mining and analysis.