My current research interests include Natural Language Processing and Trustworthy Machine Learning. My on-going projects specifically focus on developing methodologies to ensure fairness and robustness of machine learning and deep learning models and their application in healthcare. This involves addressing the presence of sensitive features or confounding shifts that may interfere with model performances. Besides, I am also interested in designing methods for probing Large Language Models (LLM) to assess the faithfulness of language generation and adapting it for downstream domain-specific tasks.