I am an early-career clinical machine learning researcher, currently working as a Lecturer of Health Data Science at the Centre for Big Data Research in Health, UNSW. My academic background is diverse, spanning applied Artificial Intelligence (AI), Electrical and Electronic Engineering, and Materials Science. I completed my PhD at the Anglia Ruskin University, UK, in 2019 with the support of an EU scholarship. My doctoral research focused on developing intelligent systems for pathological tests, utilising computer vision and machine learning on point-of-care platforms.
With over a decade of experience in the digital healthcare sector, I served as a postdoctoral researcher at the University of Oxford, UK, primarily focusing on machine learning with electronic health records in the Computational Health Informatics (CHI) lab. Before my time at the CHI Lab, I worked as a research fellow at the Medical Technology Research Centre (MTRC), Anglia Ruskin University, contributing to projects involving AI for unmet healthcare and social needs. Additionally, I advocate for healthcare accessibility through philanthropy and serve as a guest lecturer at Nottingham Trent University, UK, addressing ethical, legal, and social dimensions of Big Data Analytics. I also hold the position of Health and Technology Fellow at the Youth Policy Forum in Bangladesh.
Scholastic Grants and Achievements:
I am fascinated by diverse domains of machine learning that specifically target real-world applications. Currently, my research pursuits are centred around the following areas:
My Research Supervision
PhD student from ARU
As part of the MSc Health Data Science team, I am currently co-convening and teaching the course:
Computing for Health Data Science - HDAT9300.