Khoa Tran
Postdoc - Multi-omics Machine Learning Research at QIMR Berghofer Medical Research Institute
Queensland, Australia
Summary
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Senior🎓
Top SchoolKhoa Tran is a postdoctoral researcher and machine learning engineer with nine years of experience applying AI to precision oncology, combining multi-omics, transcriptomics and histology to improve cancer diagnosis, treatment and prognosis. He holds a PhD in applied deep learning and has published in high-impact journals while collaborating with Australian and international medical research institutes. Equally comfortable in research and production, he has built and deployed large-scale cloud genomics pipelines and Kubernetes-native CI/CD for healthcare applications using tools like Kubeflow, Argo, Spinnaker and TensorFlow/PyTorch. His industry background spans DevOps and ML roles in telecommunications, healthcare and F&B, where he shipped production AI serving systems and performance monitoring at scale. Known for bridging explainable deep learning with translational cancer biology, he is currently preparing for the GCP Professional Machine Learning certification to further formalise his cloud ML expertise.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Deep Learning in Precision Oncology, Doctor of Philosophy - PhD, Applied Deep Learning in Precision Oncology at QUT (Queensland University of Technology)Bachelor of Science - BS, Bachelor of Science - BS at The University of Queensland
Vietnamese, English
Github Skills (5)
gene-expression2
bayesian2
inference1
composition1
bayesian-inference1
Programming languages (3)
Github contributions (5)
MedicalGenomicsLab/deconvolution_benchmarking
Aug 2022 - Apr 2024
Contributions:4 releases, 26 pushes, 5 tags in 1 year 8 months
ktrannt/Forest-Types-Classification
Jan 2017 - Sep 2019
Contributions:3 pushes, 1 branch in 2 years 8 months
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