Dr. Jingni He is currently a Research Fellow in the Department of Neuroscience, School of Translational Medicine at Monash University. With a multidisciplinary background in medicine and bioinformatics, her research focuses on developing advanced statistical and computational methods to elucidate the genetic architecture of complex human diseases. She began her academic career with a Master of Medicine from Xiangya Hospital, Central South University, China, where she built a strong foundation in both clinical practice and research. Motivated by a commitment to precision medicine and data-driven discovery, she completed a PhD in Bioinformatics at the University of Calgary, Canada. Through the development of novel algorithms and the analysis of large-scale multi-omics datasets, she has published as first author or co-first author in high-impact and prestigious journals including the Am J Hum Genet, Nat Commun, Mol Biol Evol, Nucleic Acids Res, Genetics, PLoS Genet, etc.

Dr. Jingni’s research interests lie at the intersection of computational biology, genomics, and translational medicine. Specific areas of focus include:

1. Development of statistical and bioinformatics tools for multi-omics data integration.
2. Identification of genetic loci and biomarkers associated with complex diseases and drug responses.
3. Multi-omics analysis of deeply phenotyped cohorts to uncover mechanisms driving disease progression and treatment outcomes.
4. Leveraging machine learning and deep learning models for large-scale multi-omics data analysis.

Dr. Jingni is passionate about mentoring aspiring scientists and fostering interdisciplinary learning. Her supervision interests include:

1. Guiding students in bioinformatics and statistical modeling for complex disease research.
2. Mentoring projects focused on genome-wide association studies (GWAS), transcriptome-wide association studies (TWAS), and biomarker discovery.
3. Supporting early-career researchers in gaining practical experience in high-performance computing, multi-omics analysis, and machine learning applications.

Dr. Jingni’s medical background and clinical training provide a strong foundation for her translational research endeavors. Key clinical activities include:

1. Medical residency training in internal medicine in China.
2. Translating findings from bioinformatics research to inform clinical decision-making and personalized medicine.
3. Collaborating with clinicians in integrating clinical data with omics studies to bridge the gap between research and patient care.