Helala AlShehri | Cancer Genetics | Research Excellence Award

Assist. Prof. Dr. Helala AlShehri | Cancer Genetics | Research Excellence Award

Jubail Industrial College | Saudi Arabia

Assist. Prof. Dr. Helala Mohammad AlShehri is an Assistant Professor of Computer Science and Deputy for Planning and Development at Jubail Industrial College, Saudi Arabia. She earned her PhD in Computer Science from King Saud University and brings together strong academic leadership with advanced research expertise in artificial intelligence and deep learning. Dr. AlShehri has held several senior administrative roles, including department chair and head of student and academic affairs, contributing significantly to institutional planning, quality assurance, and academic accreditation. Her research focuses on AI-driven medical image analysis, particularly histopathological image classification for cancer diagnosis, explainable AI, and computer-aided decision support. She has published nine peer-reviewed articles in SCI- and Scopus-indexed journals, with over 140 citations. Dr. AlShehri actively collaborates with national and international researchers and serves as a peer reviewer for leading AI and medical imaging journals.

Citation Metrics (Scopus)

1000
100
10
5
0

Citations
97

Documents
6

h-index
5

Citations

Documents

h-index


View Scopus Profile
View Orcid Profile View Google Scholar Profile

Featured Publications

Siyang Liu | Bioinformatics | Best Researcher Award

Dr. Siyang Liu | Bioinformatics | Best Researcher Award

Sun Yat-Sen University | China

Author Profile

Scopus

Orcid ID

Google Scholar

📊 Dr. Siyang Liu: A Leader in Human Statistical Genetics and Bioinformatics

EARLY ACADEMIC PURSUITS 🎓

Dr. Siyang Liu began her academic journey with a Bachelor's in Ecology from Sun Yat-sen University’s Department of Life Science (2007-2011), where she received a China National Governmental Scholarship for her academic performance. Her interest in bioinformatics led her to pursue an MSc and subsequently a Ph.D. in Bioinformatics at the Bioinformatics Center, University of Copenhagen. Supervised by esteemed Professors Anders Krogh and Anders Albrechtsen, she developed a robust foundation in bioinformatics, further supported by the Danish Government Scholarship.

PROFESSIONAL ENDEAVORS 👩‍🔬

Dr. Liu is a tenured Associate Professor at the School of Public Health (Shenzhen), Sun Yat-sen University. She also holds concurrent posts as a Professor in Genomics at BGI-Shenzhen Life-Science Institute and a Professor in Bioinformatics at the Center of Excellence for Omics Research, Beijing Tiantan Hospital. Before her current role, she was a Senior Research Scientist at BGI-Shenzhen Life-Science Institute (2018–2021).

CONTRIBUTIONS AND RESEARCH FOCUS ON BIOINFORMATICS🔬

Dr. Liu's research group primarily investigates human statistical genetics and bioinformatics. Her expertise lies in analyzing genetic, environmental, and molecular factors that contribute to human diseases and traits. She uses a combination of bioinformatics, statistical, and machine learning techniques to study the molecular and systemic etiology of complex diseases. Her goal is to develop predictive and intervention models for these diseases, benefiting individuals and populations alike.

IMPACT AND INFLUENCE 🌎

Dr. Liu’s research has contributed significantly to the understanding of complex diseases through the development of genomic and bioinformatics models. Her work is widely recognized in high-impact journals, with over 20 publications as (co-)first or (co-)corresponding author in journals such as Cell, Nature, Blood, and Nature Communications. Her findings have provided insights into both the predictive modeling of disease and the influence of various genetic and environmental factors on human health.

ACADEMIC CITES 📚

Her body of work is extensively cited in the fields of genomics, bioinformatics, and statistical genetics. This academic impact underscores the relevance and influence of her contributions to scientific knowledge, with her publications helping to advance both the understanding and practical application of complex bioinformatics models.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

With her innovative research, teaching roles, and mentorship, Dr. Liu is shaping the next generation of scientists in the field of bioinformatics and public health. Her leadership in multi-omics projects, especially in the areas of cerebrovascular disease and respiratory virus research, demonstrates her commitment to advancing medical genomics and bioinformatics. Her work in population genetics and epidemiology has already made a lasting impact, and her ongoing projects promise to deepen our understanding of the genetic and environmental factors impacting public health.

KEY PROJECTS, GRANTS, AND TEACHING CONTRIBUTIONS💡

Dr. Liu has secured significant funding from national and provincial sources, including the National Key Research and Development Program Project and the Guangdong Provincial Basic and Applied Basic Research Fund, among others. Dr. Liu teaches a range of subjects, including Medical Informatics, Bioinformatics, and Epidemiological Methods. Her courses prepare students for practical applications in computational biology and medical statistics.

OTHER NOTABLE ACHIEVEMENTS 🏆

  • Grants: Dr. Liu has secured several substantial research grants, including the National Key Research and Development Program Project on ischemic cerebrovascular disease and respiratory viruses, underscoring her expertise in multi-omics approaches.
  • Teaching: She is an active educator, teaching courses such as Fundamentals and Experiments in Medical Informatics, Python and Computational Biology, and Epidemiological Methods, shaping the next generation of bioinformatics and medical statistics experts.
  • Honors and Awards: Dr. Liu’s accolades include the Important Scientific Research Achievement Award at BGI-Shenzhen and recognition as a Shenzhen High-level Overseas Talent, highlighting her achievements and influence within the academic and research communities.

NOTABLE PUBLICATIONS 📑

"Genome-wide association studies of thyroid-related hormones, dysfunction, and autoimmunity among 85,421 Chinese pregnancies" 

  • Authors: Wei, Y. , Zhen, J. , Hu, L. , Xiong, L. , Liu, S
  • Journal: Nature Communications
  • Year: 2024

"Efforts made, challenges faced, and recommendations provided by stakeholders involved in mpox prevention and control in China: a qualitative study" 

  • Authors: Zhang, W. , Qi, X. , Han, B. , Meng, X. , Zou, H
  • Journal: Public Health
  • Year: 2024

"Genome-wide association study of maternal plasma metabolites during pregnancy" 

  • Authors: Liu, S. , Yao, J. , Lin, L. , Jin, X. , Liu, S.
  • Journal: Cell Genomics
  • Year: 2024

"Advances in using non-invasive prenatal testing to study genomics related to maternity" 

  • Authors: Jin, X. , Xu, X. , Zhou, A. , Wang, T. , Liu, H.
  • Journal: Cell Genomics
  • Year: 2024

"Utilizing non-invasive prenatal test sequencing data for human genetic investigation" 

  • Authors: Liu, S. , Liu, Y. , Gu, Y. , Jin, X. , Huang, S.
  • Journal: Cell Genomics
  • Year: 2024