Trained and tested various computer vision models in detecting Epidermal Growth Factor Receptor (EGFR) mutations in tumours.- Worked on using ResNet to detect EGFR mutations given H&E-stained images of tumours- Built architecture powered by computer vision to standardise input, aggregate data, and predict mutation status using Pandas, PyTorch and other librariesProvided baseline code to be modified and used for developing of other models in related projects (e.g. detection of other mutations)

Worked on investigating the effectiveness of existing methods in detecting stealthy DNS tunnelling- Compiled data from research papers about adversarial tactics to avoid detection- Compared tactics with various detection methods ranging from traffic analysis to payload analysis