Amarinder Thind
Bioinformatics | Data Analytics | Data Science | Biostatistics | multi-Omics
University of Sydney, Australia
Bioinformatics | Data Analytics | Data Science | Biostatistics | multi-Omics
University of Sydney, Australia
Dr. Thind is a Senior Research Bioinformatician at University of Sydney (Australia) and holds an honorary affiliation with the University of Wollongong. Dr. Thind is an experienced bioinformatician and data analyst with a strong background in statistics, multi-omics analysis, and health data science. His research focuses on the integration and interpretation of large-scale biological and clinical datasets to advance understanding of disease mechanisms, diagnostics, and treatment outcomes.
He has collaborated extensively with multidisciplinary teams, including biostatisticians, clinicians, and molecular biologists, on projects involving genomics, transcriptomics, and clinical informatics. In both academic and clinical research settings, Dr. Thind applies a practical, solution-oriented approach to complex biomedical data challenges.
Latest Publications:-
Hulme et. al "Induced Proprioceptor and Low-Threshold Mechanoreceptor Neurons Derived from Human Pluripotent Stem Cells Exhibit Distinct Functional Mechanosensory Properties" Advanced Science, (2025) https://doi.org/10.1002/advs.202512413
Thind, A., Ashford, B., Shannon, N., Strbenac, D., Piper, A. K., Mitchell, J., ... & Ranson, M. (2025). CTCF Binding Site Mutations: Linking Topologically Associated Domains Dysregulation to Cutaneous Squamous Cell Carcinoma Progression. , https://doi.org/10.21203/rs.3.rs-6844715/v1. (Preprint)
Ashish Gupta, Amarinder Thind , Rituraj Purohit EGFRAP: A machine learning-based tool to predict the activities of novel small molecules against epidermal growth factor receptor (RSC Med Chem, 2025).
Advances in long-read single-cell transcriptomic (Human Genetics, 2024 (https://link.springer.com/article/10.1007/s00439-024-02678-x ). (Senior Author)