Adam Mahdi is the Director of Graduate Studies and a Departmental Research Lecturer at the Oxford Internet Institute. His research interest involves application of statistical and machine learning methods in social sciences with a focus on digital health. He leads a UKRI-funded OxCOVID19 Project. In addition to his work at the OII, he is a fellow at Wolfson College and Stipendiary Lecturer at Lady Margaret Hall.
Prior to joining Oxford Internet Institute in 2021, Adam was a Research Fellow at the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford; Visiting Fellow at the Isaac Newton Institute for Mathematical Sciences, University of Cambridge; and Research Assistant Professor at North Carolina State University.
Adam’s research focuses on application of data science approaches in social science with a particular interest in digital health. In 2020 Adam founded the OxCOVID19 Project (UKRI-funded) aimed at increasing our understanding of the COVID-19 pandemic and elaborate possible strategies to reduce the impact on the society through the combined power of statistical and machine learning techniques. He led a group of 15 researchers and academics in assembling a large, publicly available multimodal database, consisting of information related to the efficacy of public health policy interventions. He has established numerous collaborations within the UK and abroad including with the Met Office, European Values Study and World Value Survey. Within digital health, Adam’s work focused on opportunistic methods in big data analytics, aiming to take advantage of routinely collected NHS data to obtain actionable insights into patients’ health beyond the primary reason of admission. His recent work focuses on application of machine learning for visual data analytics. This work aims at developing quantitative methods for multimodal data including images, time series and text sources, which create an opportunity for social scientists to incorporate new tasks into their analysis.
Adam holds a PhD and MSc in applied mathematics from the Universitat Autònoma de Barcelona. He completed the Oxford Biodesign Programme (University of Oxford) focusing on the Biodesign process of MedTech innovation, with a particular focus on digital healthcare.
TEACHING AT THE OII
Adam teaches Applied Analytical Statistics, one of the foundation papers in the MSc Programme in Social Data Science, which focuses on the tools and techniques used by social scientists to understand, describe and analyse quantitative data. He also teaches Fairness, Accountability, and Transparency in Machine Learning, aiming to equip students with the technical and conceptual tools to be able to engage deeply and critically with machine learning.
Digital health, machine learning, healthcare policy, social and computational data science
Media narratives on migration are perceived to have a significant impact on policy decisions and public attitudes toward migration. The project applies tools and methods to enable practitioners to make more effective policy decisions.
The Oxford COVID-19 Project aims to increase our understanding of COVID-19 and elaborate possible strategies to reduce the impact on the society through the combined power of Statistical, Mathematical Modelling and Machine Learning techniques.
A data-driven approach to understanding structural determinants of digital inequalities
20 September 2024
A team of AI experts from the Oxford Internet Institute and the Mathematical Institute at the University of Oxford has won the prestigious 2024 George B. Moody PhysioNet Challenge.
29 April 2024
Five faculty members have received Dieter Schwarz Foundation (DSF) funding, enabling them to begin new 12-month research projects at the Oxford Internet Institute (OII).
29 September 2022
An algorithm developed by Oxford Internet Institute's Dr Adam Mahdi, lies at the heart of research finding people with higher blood pressure overnight are at higher risk of stroke or heart failure.
DPhil Student
Djavan is a part-time DPhil student conducting research at the intersection of agriculture and climatic change. He is currently a consultant at McKinsey & Company.
DPhil Student
Felix is a DPhil student at the OII with an MSc in Industrial Engineering and Management, and has over 2 years of work experience as analytics consultant at McKinsey & Company.
DPhil Student
Andrew holds a B.S. in Applied Mathematics from Yale University and an MSc in Social Data Science from the OII. He is a Clarendon Scholar and was previously a Thouron Prize winner at the University of Cambridge (Pembroke College).
DPhil Student
Harry is a DPhil student at the OII. His research focuses on the application of AI in healthcare systems.
DPhil Student
Jessica is a DPhil student in Social Data Science, researching representational biases in language models. She holds an MSc in Computer Science and works as a Lead Data Scientist at Springer Nature.
DPhil Student
Guy is a Shirley Scholar at the OII, an Intensive Care doctor, and the Clinical Lead for a Health AI business at Deloitte. He researches AI-enabled healthcare systems.
DPhil Student
Yushi is a DPhil student in Social Data Science at the OII, and an aspiring data scientist. Her research focuses on developing interpretability methods to improve safety mechanisms in large language models and ensure robust harm mitigation.
MSc Student
Saskia holds a BSc in Mathematics and Statistics. Prior to her postgraduate studies, she worked as Data Scientist in the financial sector.
MSc Student
Adam completed a MA in Japanese and Linguistics at the University of Edinburgh and has experience working as a translator. Adam is interested in applying natural language processing to examine the sociolinguistics of the internet.
DPhil Student
Karolina is a DPhil student at the OII, where her research focuses on GenAI solutions for healthcare.
DPhil Student
Karolina is a DPhil student at the OII, where her research focuses on GenAI solutions for healthcare.
Former MSc Student
Khyati has completed her Bachelor’s in Statistics and Mathematics from the University of Mumbai. She has full time, as well as internship experience in text Analytics, NLP and Machine Learning.
Former MSc Student
Henry holds a BA in PPE from the University of Oxford. He is interested in using data science methods to understand the media's influence on politics, voting for radical parties, and elite behaviour.
Former MSc Student
Sneha holds a BSc in Economics and Finance from Exeter University. Sneha is interested leveraging machine learning techniques to model and foresee climate action outcomes in developing nations. Sneha also has a passion for quantitative finance.
Former MSc Student
Teodor is a data scientist at the World Data Lab, tracking UN SDGs, demography and consumer spending. With a BSc in Politics & IR from UCL, Teodor is passionate about leveraging data for social impact.
Former MSc Student
Mehdi holds a degree in Statistics from Williams College. He spent two undergraduate years at the University of Oxford studying machine learning, Islamic studies, and Middle Eastern studies.
This course teaches practical and applied Machine Learning techniques, focusing on how to apply the mathematical foundations of machine learning to domains where we are uncertain about the right answer or best approach, with an emphasis on temporal and graph-based approaches.
Applied analytical statistics is a course focusing on the tools and techniques used by social scientists to understand, describe and analyse (quantitative) data.
