About
Biomedical machine learning researcher
I am a biomedical researcher with a strong technical foundation in machine learning and a passion for applying AI to advance precision oncology. In my current role as postdoctoral researcher at Dr Nic Waddell’s Medical Genomics group, my research program focuses on developing multi-omics machine learning models, integrating genomics, transcriptomics and histology data, for personalised cancer diagnosis, treatment, and prognostication. My academic track record includes publications on leading journals (Impact factor 10+) on the topics of machine learning and computational biology, showcasing successful collaborations with researchers across Australian and international (UK and the Netherlands) medical research institutes.
Beyond academia, I also possess more than 2 years of industry experience across cloud infrastructure and machine learning roles in the life sciences sector.
Research Skills
- Machine learning
- bioinformatics
- RNA-Seq
- scRNA-Seq
- histology image analysis
Area of Interest
Artificial intelligence, precision oncology
Gallery
Publications
Tran, K.A.*, Addala, V.* et al. Explainable machine learning identifies features and thresholds predictive of immunotherapy response. bioRxiv (2025). DOI: 10.1101/2025.03.23.643560
Tran, K.A., Addala, V., Johnston, R.L. et al. Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures. Nat Commun 14, 5758 (2023). DOI: 10.1038/s41467-023-41385-5
Tran, K.A., Kondrashova, O., Bradley, A. et al. Deep learning in cancer diagnosis, prognosis and treatment selection. Genome Med 13, 152 (2021). DOI: 10.1186/s13073-021-00968-x