I currently work on applying machine learning to healthcare problems like Long COVID and Gastroenterological diseases, using a range of technologies like LSTMs, to Vision Transformers and Convolutional Neural Networks. The main subject of my thesis is building and evaluating interpretable machine learning techniques like Attention and GradCAMs, as well as combining image and text modalities for healthcare data science problems.
