معرفی
Adam Mahdi is the Director of Graduate Studies and a Departmental Research Lecturer at the Oxford Internet Institute (OII), University of Oxford. He is also a fellow at Wolfson College and a Stipendiary Lecturer at Lady Margaret Hall. Prior to joining OII in 2021, he held roles including Research Fellow at the Institute of Biomedical Engineering, Visiting Fellow at the Isaac Newton Institute, and Research Assistant Professor at North Carolina State University.
Adam holds a PhD and MSc in applied mathematics from the Universitat Autònoma de Barcelona and completed the Oxford Biodesign Programme focusing on MedTech innovation in digital healthcare.
His research focuses on applying machine learning and statistical methods to social sciences, particularly in digital health. He leads the UKRI-funded OxCOVID19 Project, aiming to understand the pandemic's impact through data science. His work includes developing multimodal databases, analyzing NHS data for health insights, and advancing visual data analytics techniques in healthcare.
Recent publications explore healthcare applications of large language models (LLMs), such as their limitations in clinical interactions and strategies to enhance their utility. He also investigates machine learning approaches in ECG signal reconstruction, rice yield prediction using climate data, and multimodal deep learning for neurological recovery prediction. His work emphasizes ethical and practical challenges in AI integration within healthcare systems.
No scientific awards explicitly mentioned in the provided texts.
Adam supervises a diverse group of PhD and MSc students researching topics from AI alignment to healthcare policy. He leads the OxCOVID19 Project, supported by UKRI funding, and collaborates with institutions like the Met Office and the European Values Study. His grants include the Dieter Schwarz Foundation funding for student projects.
He leads a team of 15 researchers in the OxCOVID19 Project and collaborates with global partners on initiatives such as the Geographies of Digital Divide and Seeing Migration Narratives.
