DrAizaan Anwar
Research Postgraduate
Department of Computing - Faculty of Engineering
Orcid identifier0000-0002-7612-9244 (opens in a new tab)
- Research PostgraduateDepartment of Computing - Faculty of Engineering
- Huxley Building, South Kensington Campus, United Kingdom
BIO
I am Prof. Lucia Specia and Dr. Matthew Williams’ AI4Health PhD student, currently studying longitudinal speech data collected from the BRIAN mobile app (developed by The Brain Tumour Charity) as biomarkers of brain tumour progression.
I studied medicine at the University of Aberdeen and was attached to the Brain and Mind Institute, University of Western Ontario, for my medical elective. My elective project on the ability of the visuomotor system in predicting object weight through trial history was supervised by Dr. Gavin Buckingham and Prof. Melvyn Goodale. After qualifying, I worked in the NHS where I spent nearly three years combined in clinical neurosciences (National Hospital for Neurology & Neurosurgery London, Sheffield and Aberdeen).
Following completion of my exams for the Membership of the Royal Colleges of Physicians UK, I completed a Master of Science in Public Health degree at the London School of Hygiene and Tropical Medicine (where I became interested in Machine Learning and Statistical Methods in Epidemiology). My Master's project on the barriers to hypertension awareness, treatment and control in Malaysia was supervised by Prof. Martin McKee (Professor of European Public Health) & Mr. Benjamin Palafox (Research Fellow). My Master's tutor was Prof. Sir. Nick Black (Professor of Health Services Research).
Through training medical students and junior doctors, I obtained a Postgraduate Certificate in Medical Education (Keele University) and Fellowship of the Higher Education Academy. I was a clinical examiner for Manchester Medical School and University College London Medical School.
I was a Data Science Fellow for the Fall 2021 Data Science for All/ Women's Summit and mentored by Dr. Detlef Nauck (Head of AI & Data Science Research at BT and Visiting Professor at Bournemouth University). I was selected to become a PhD Data Science Intern with NHS England's Digital Analytics & Research Team, Lancaster University and Lancashire Teaching Hospitals NHS Foundation Trust in 2023 to develop evaluation strategies for Named Entity Recognition & Linking in Neurology cases.
I studied medicine at the University of Aberdeen and was attached to the Brain and Mind Institute, University of Western Ontario, for my medical elective. My elective project on the ability of the visuomotor system in predicting object weight through trial history was supervised by Dr. Gavin Buckingham and Prof. Melvyn Goodale. After qualifying, I worked in the NHS where I spent nearly three years combined in clinical neurosciences (National Hospital for Neurology & Neurosurgery London, Sheffield and Aberdeen).
Following completion of my exams for the Membership of the Royal Colleges of Physicians UK, I completed a Master of Science in Public Health degree at the London School of Hygiene and Tropical Medicine (where I became interested in Machine Learning and Statistical Methods in Epidemiology). My Master's project on the barriers to hypertension awareness, treatment and control in Malaysia was supervised by Prof. Martin McKee (Professor of European Public Health) & Mr. Benjamin Palafox (Research Fellow). My Master's tutor was Prof. Sir. Nick Black (Professor of Health Services Research).
Through training medical students and junior doctors, I obtained a Postgraduate Certificate in Medical Education (Keele University) and Fellowship of the Higher Education Academy. I was a clinical examiner for Manchester Medical School and University College London Medical School.
I was a Data Science Fellow for the Fall 2021 Data Science for All/ Women's Summit and mentored by Dr. Detlef Nauck (Head of AI & Data Science Research at BT and Visiting Professor at Bournemouth University). I was selected to become a PhD Data Science Intern with NHS England's Digital Analytics & Research Team, Lancaster University and Lancashire Teaching Hospitals NHS Foundation Trust in 2023 to develop evaluation strategies for Named Entity Recognition & Linking in Neurology cases.
FACULTY
- Faculty of Engineering
POSITION NAME
- Research Postgraduate