AI

Converted my PhD research into a mobile app that any clinician can use anywhere: an AI-driven clinical decision support system for appropriate antibiotic use.

Invited to give a talk on my PhD journey and the pathway for translating AI and machine learning systems from research settings into clinical use.

Developed a end-to-end LLM-powered pipeline that generates a patient information video from an medical input prompt.

Defended my PhD thesis with no corrections.

Presented my work on evaluating clinicians perspectives and the potential impact of an AI-decision support system at ICID 2024 a leading global conference on infectious disease.

Led a workshop on the design, evaluation and intergration of AI decision support in healthcare for CAMO-Net, a Wellcome funded, multidisciplinary, global collaboration. It included giving a talk on translating AI, web-app demos, interactive questionairs and breakout exercises.

Invited to give a talk on my PhD research at the 2024 Advancing Data Technologies to Corner AMR (ADTCA) Conference. Talk starts at the time stamp 1:32:00 in the video.

Presented work conducted during my intership at GSK.ai at the ICLR 2024 Workshop on Reliable and Responsible Foundation Models.

Demo of web platform for medical professionals to chat, send and manage referrals, and consult an AI assistant.

A framework for evaluating the reliability of LLMs as assistants in the biomedical domain