The University of Queensland
Teaching and tutoring in Introduction to Data Science (DATA7001), Digital Health Software Project (COMP3820) and Research Methods (ENGG7811).
Teaching · Supervision · Training
Teaching & Supervision
I teach across machine learning, data science and mathematical foundations, and supervise student research in medical image analysis. My approach connects conceptual understanding with reproducible experiments, careful evaluation and clear scientific communication.
Academic teaching
James Cook University, Brisbane
Previous appointment
Sessional Lecturer in MA2011 Discrete Mathematics.
Kaplan Business School
Sessional Lecturer in TECH3100: Data Visualization in R.
IIIT Sri City and University of Hyderabad
Earlier teaching support in deep learning, machine learning, statistics, discrete mathematics, probability and R programming.
Research supervision
I supervise undergraduate and postgraduate students on research projects in medical imaging AI, including the development of a shared brain MRI lesion segmentation pipeline.
Projects emphasise data quality, preprocessing, reproducible training, meaningful baselines, lesion-level evaluation and failure analysis.
Potential project areas
- Brain MRI lesion detection and segmentation
- Structural and diffusion MRI biomarkers
- Quantitative thoracic imaging
- Robustness and clinical evaluation of imaging AI
Student enquiries
Students interested in research projects, internships or remotely supervised work are welcome to contact me with a brief description of their interests and experience.
Professional training
I also deliver the Clinical AI course and tailored workshops for research and industry teams.