Khoa Tran Email & Phone Number

Brisbane, Qld, Au

Brisbane, Queensland, Australia

Brisbane, Queensland, Australia

- Thesis title: "A machine learning approach to studying the tumour microenvironment".- Areas of focus: multi-modal machine learning, explainability, immunotherapy, survival analysis.- Chapter 1: comprehensive review of applications of deep learning in precision oncology.Publication: https://doi.org/10.1186/s13073-021-00968-x- Chapter 2: benchmarking of performance of tumour deconvolution methods.Publication: https://doi.org/10.1038/s41467-023-41385-5- Chapter 3: multi-omic machine learning approach, integrating genomic and transcriptomic features, to predict response to immune checkpoint inhibitors in melanoma patients- Chapter 4: multi-modal machine learning to approach, integrating transcriptmic and histology data, to predict survivability of breast cancer patients

Brisbane, Australia

I was part of the Healthcare and Life Sciences Research Division, where I was responsible for:- Buidling 3D convolutional neural networks, including ResNet v3, to integrate gene expressions, somatic mutational status, and copy number variations for the purpose of detecting the origin of tumours with unknown primary across 32 cancer types in TCGA.- Investigated the applications of explainability methods, such as SHAP, to rationalise neural network predictions and explored their translation into cancer biology.- Explored data synthesis methods, including SMOTE, to address the imbalanced nature of biology data.- Deployed and maintained Google Cloud computing environments for the research team using Kubernetes Engine, Compute Engine, and Kubeflow. - Designed and maintained the research team's GitHub codebase, including managing branches, provisioning privileges, approving merge requests, resolving merge conflicts, and overseeing version releases. - Provided daily technical supervision for junior team members in Python-based data analysis and predictive modelling.NOTE: Max Kelsen was acquired by Bain & Co. in July 2023.

Brisbane, Australia

I was part of the AI engineering team, where I was responsible for:- Implementing a Variational Autoencoder (VAE) to capture MRI features relevant to prostate tumor grading and segmentation using TensorFlow.- Developing a Python analytics workflow to extract prostate-specific antigens from patients' digital records.- Containerising and deploying microservices on Google Cloud using Docker, GitHub Actions, and Spinnaker- Collaborating with the back-end engineering team to design a Django-based Application Programming Interface (API).- Conducting unit, functional, and end-to-end testing and diagnosis on various microservices using pytest.Maxwell Plus was operational between 2015 and 2022. For more information, please visit: https://cloud.google.com/customers/maxwell-plus

Brisbane, Australia

- Implement cross-application workflow orchestration toolings with fault resistance, timing handling and logging monitoring for various microservices.- Orchestrate the continuous integrations and continuous deployment of all reality modelling microservices- Research and implement state-of-the-art object detection and semantic segmentation machine learning algorithms

282 Wickham St, Fortitude Valley, Brisbane

Wickham St, Fortitude Valley, Brisbane

Doctor Of Philosophy - Phd, Applied Deep Learning In Precision Oncology

Master Of Information Technology

Bachelor Of Science - Bs

Activities and Societies: IDEA NetworkBachelor of Science