HDR Midlands Data Grand Round – Thursday 21st May 2026 @ 12.30 pm [Online via Teams]
Session Chair: Kevin Dunn
The 51±¬ÁÏÍø Midlands Data Grand Round takes place each month at lunchtime for one hour, and participants discuss a specific research topic at each meeting.
The research topic of interest is presented at each meeting, followed by a Q&A session, which usually leads to an in-depth discussion.
The meetings are online [virtual meetings] and are recorded for any members of our community who are unable to join us, which are then made available to view via the 51±¬ÁÏÍø Midlands website.
The meetings are chaired by our 51±¬ÁÏÍø Midlands Directors, who give a short 51±¬ÁÏÍø Midlands business update at the start of each meeting.
CPD certificates are available upon request.
Biographies:
Dr Animesh Acharjee, Associate Professor, University of Birmingham
Animesh Acharjee is an Assistant Professor of Integrative Analytics and AI (Health Data Science) and Deputy Programme Director, MSc in Health Data Science (Dubai) in the Institute of Cancer and Genomic Sciences.
Dr Acharjee did his undergraduate degree in Electrical Engineering from North Eastern Regional Institute of Technology (NERIST), Itanagar, India and Masters in Bioinformatics from the Institute of Bioinformatics and Applied Biotechnology, Bangalore, India. After his Master’s, he earned his PhD from Wageningen University, The Netherlands, on applied machine learning and data analysis. After his PhD, he moved to Lyon, France, for his post-doctoral study with Synergie Lyon Cancer Centre as a Biostatistician, where he extensively worked on big data analytics and cloud computing. After his post-doctoral study, he was offered a scientist position with BASF Cropdesign, Belgium.
Before joining the University of Birmingham and Queen Elizabeth Hospital, he was working with the University of Cambridge, Cambridge, UK, focusing on metabolism-driven diseases like Obesity, T2 diabetes, using high-throughput metabolomics and lipidomics technologies. His research interests include integrative data analytics, predictive biomarker discovery, bioinformatics methods for diagnostics and network biology. Throughout his career, he was offered many fellowships from the British Council, Dutch Government and Newton fellowships. He has published many papers in international journals and actively collaborates with many Universities, for example, Harvard University and the University of Cambridge. So far, he has published 64 papers, and his h-index is 18 based on Google Scholar.
Matthew Chapman, Clinical Fellow, Cardiology, University Hospitals Birmingham NHS Foundation Trust, QEH
Matt Chapman is a clinical research fellow and PhD student. He joined the team in 2024, having previously worked as an Endocrinology & Diabetes specialist trainee.
He is working on the design and implementation of the HYPERMARKER clinical trial, which is testing a new approach to drug treatment choice for high blood pressure using pharmacometabolomics (blood tests) and artificial intelligence. This work also involves the integration of public and patient representatives within the study design. He also has a role in participant enrolment of the DaRe2THINK trial and the delivery of the neurovascular sub-study.
We’d love you to join us!
