Professor Rohini Mathur - 'Data Science for Safer, Higher-Quality Care: From Medicines in Pregnancy to Global Health Systems'
1:00pm - 2:00pm /
Monday 20th July 2026
/ Venue: Physiology Seminar Room Nuffield Wing
Type: Seminar /
Category: Department
/ Series: Institute of Systems, Molecular and Integrative Biology
- ISMIB Seminar Team
- Suitable for: All are welcome
- Admission: Free
Add this event to my calendar
Click on "Create a calendar file" and your browser will download a .ics file for this event.
Microsoft Outlook: Download the file, double-click it to open it in Outlook, then click on "Save & Close" to save it to your calendar. If that doesn't work go into Outlook, click on the File tab, then on Open & Export, then Open Calendar. Select your .ics file then click on "Save & Close".
Google Calendar: download the file, then go into your calendar. On the left where it says "Other calendars" click on the arrow icon and then click on Import calendar. Click on Browse and select the .ics file, then click on Import.
Apple Calendar: The file may open automatically with an option to save it to your calendar. If not, download the file, then you can either drag it to Calendar or import the file by going to File >Import > Import and choosing the .ics file.
A selection of sandwiches, tea and coffee will be available between 12:30-13:00 in the Physiology Board Room . To support sustainability, cups will be limited, so please bring your own cup.
Rohini Mathur is Professor and Chair of Health Data Science at QMUL, whose research uses large-scale health data to improve the quality, safety, and equity of health care. She leads a major NIHR‑funded programme (NIHR156161) developing and evaluating a Learning Health System to strengthen data‑driven quality improvement in primary care in Thailand, with a focus on improving prevention and management of non‑communicable diseases in partnership with health professionals, policymakers, and communities.
She is a co-investigator on an NIHR‑funded study (NIHR205013) led by Professor Julia Hippisley-Cox on the safety of medicines in pregnancy, using target trial emulation methods and developing decision‑support tools to support shared decision‑making for women and clinicians. Rohini is the academic lead of the Clinical Effectiveness Group at QMUL, a multidisciplinary team focused on delivering data-supported quality improvement. In 2025, she was named one of the UK’s Top 20 Women in Data and Technology.
If you would like to meet with Rohini, please contact the host Vicky Garfield (v.garfield@liverpool.ac.uk).
Rohini Mathur is Professor and Chair of Health Data Science at QMUL, whose research uses large-scale health data to improve the quality, safety, and equity of health care. She leads a major NIHR‑funded programme (NIHR156161) developing and evaluating a Learning Health System to strengthen data‑driven quality improvement in primary care in Thailand, with a focus on improving prevention and management of non‑communicable diseases in partnership with health professionals, policymakers, and communities.
She is a co-investigator on an NIHR‑funded study (NIHR205013) led by Professor Julia Hippisley-Cox on the safety of medicines in pregnancy, using target trial emulation methods and developing decision‑support tools to support shared decision‑making for women and clinicians. Rohini is the academic lead of the Clinical Effectiveness Group at QMUL, a multidisciplinary team focused on delivering data-supported quality improvement. In 2025, she was named one of the UK’s Top 20 Women in Data and Technology.
If you would like to meet with Rohini, please contact the host Vicky Garfield (v.garfield@liverpool.ac.uk).