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Warwick Medical School

Data Science and AI for Health

Symposium on Data Science and AI for Health

Speakers

Steven Niederer, Professor of Biomedical Engineering, Imperial College London

Chris Harbron, Expert Statistical Scientist, Roche Pharmaceutical

Bhramar Mukherjee, Professor of Biostatistics, University of Michigan

University of Warwick STEM Connect Programme’s vision is to undertake purposeful growth to strengthen the Warwick STEM portfolio through our world class research and education, and growing our networks, partnerships, and interdisciplinary collaborations. Under the auspices of STEM Connect and International Partnership Fund, the Symposium on Data Science and AI for Health will feature talks from key leaders from academia and industry on cutting-edge research topics ranging from Predictive Models in pharmaceutical industry to Digital Twins to Electronic Health Records and Precision Health. The event aims to provide opportunities for Warwick researchers to engage, network, and explore potential collaboration with an interdisciplinary approach to health, medicine, and drug development.

For further information, please contact Deepak Parashar.


Tuesday 2 July 2024

9:30am - 3:30pm, Scarman Conference Centre (Space 24), University of Warwick
Full Schedule

Register

Full Schedule

9:00 am

Arrival and refreshments available in lounge

9:30 am

Welcome and Introduction to the STEM Connect Research Activity

9:45 am

Professor Steven Niederer

Professor Steven Niederer

Imperial College London

The Cardiac Digital Twin

Dr. Steven Niederer completed his undergraduate degree in Engineering Science at the University of Auckland in 2003 and his DPhil in Computer Science on modelling the rat heart at the University of Oxford in 2008. From 2010 to 2023 started and grew the Cardiac Electro-Mechanics Research Group at King’s College London, where his research focused on accelerating and translating patient-specific modelling of the heart into clinical applications. In 2023 Dr. Niederer moved to Imperial College London as the Chair in Biomedical Engineering at the National Heart and Lung Institute and became a Co-Director for the Digital Twin Turing Research and Innovation Cluster at the Alan Turing Institute, the UK’s Artificial Intelligence and Data Science Research Centre. His current work is focused on reducing barriers to adopting digital twin technology, developing virtual patient cohorts for in-silico trials, mapping organ scale function through to cellular and molecular physiology, and using modelling and simulation to personalize and guide therapies.

10:45 am

Coffee Break

11:15 am

Dr. Chris Harbron

Dr. Chris Harbron

Roche Pharmaceuticals

Research Areas for Developing Predictive Models within the Pharmaceutical Industry

Chris Harbron is an Expert Statistician leading capabilities in Advanced Analytics within the Methods, Collaborations and Outreach group within the Data Sciences function at Roche. Through a variety of roles within the pharmaceutical industry Chris has worked in all stages of the drug development pipeline from drug discovery to early and late development. Over recent years Chris has focussed on developing the skills and capabilities Roche is developing to successfully adopt Advanced Analytics and AI including leading a Strategic Partnership with the Alan Turing Institute.

12:15 pm

Lunch

1:30 pm

Introduction to the International Partnership Fund project

1:45 pm

Professor Bhramar Mukherjee

Professor Bhramar Mukherjee

University of Michigan

Addressing Selection Bias in Analysis of EHR Data from Multiple Biobanks

Bhramar Mukherjee is John D. Kalbfleisch Distinguished University Professor, Siobán D. Harlow Collegiate Professor and Chair of the Department of Biostatistics; Professor, Department of Epidemiology, Professor, Global Public Health, University of Michigan School of Public Health. In August of 2024, Dr. Mukherjee will join the faculty at Yale University as Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health. She will serve as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at YSPH, with a secondary appointment in the Department of Statistics and Data Science. Her research interests include statistical methods for analysis of electronic health records, studies of gene-environment interaction, Bayesian methods, shrinkage estimation, analysis of multiple pollutants. Collaborative areas are mainly in cancer, cardiovascular diseases, reproductive health, exposure science and environmental epidemiology. She has co-authored more than 390 publications in statistics, biostatistics, medicine and public health. She is the founding director of the University of Michigan’s summer institute on Big Data. Bhramar is a fellow of the American Statistical Association and the American Association for the Advancement of Science. Bhramar was inducted into the National Academy of Medicine in 2022. She is the recipient of many awards for her scholarship, service and teaching at the University of Michigan and beyond. Recent major awards include the Karl E Peace Award for statistical contribution towards betterment of society awarded by The American Statistical Association, the Sacks Award from National Institute of Statistical Sciences, the Distinguished Science Alumnae Award from Purdue University, and the Marvin Zelen Leadership Award in Statistical Science. Bhramar and her team took an active role in modeling the SARS-CoV-2 virus trajectory in India during the COVID-19 pandemic, which has been covered by major media outlets like Reuters, BBC, NPR, NYT, WSJ, Der Spiegel, Australian National Radio and the Times of India.

3:00 pm

Coffee, Networking and Close of Symposium

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