Associate Professor in the Department of Computer Science
I am passionate about the transformative potential of improving patient care and making a tangible difference in healthcare outcomes.
I am a leader in artificial intelligence (AI) research, particularly in healthcare. My work focuses on creating innovative AI solutions to solve critical challenges in patient care. I lead multiple research projects and direct a team of over 15 researchers, driving advancements in cutting-edge explainable and responsible AI.
My focus is on leveraging the vast wealth of healthcare data to develop AI tools that support clinical staff by identifying at-risk patients, speeding up triage, and improving service quality. Examples include a system to flag high-risk patients in A&E, a tool to reduce unnecessary blood tests after chemotherapy, and a diagnostic aid for dermatologists to identify skin cancer. I prioritize building AI models that perform equitably across all subpopulations and provide clear, interpretable explanations for their decisions.
I am passionate about the transformative potential of improving patient care and making a tangible difference in healthcare outcomes. I thrive on the challenges posed by real-world data, tackling complex problems from both technical and interdisciplinary perspectives. Bridging the gap between different fields, including patient groups, is a critical aspect of my work. It's incredibly rewarding when my efforts lead to policy changes that impact the lives of millions of patients.
My work delivers impact on multiple fronts:
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