I am an early career researcher (Research Fellow) with the School of Population Health under the Faculty of Medicine at University of New South Wales (UNSW), Sydney, Australia. My research interests are in the secondary usage of routinely collected electronic health records (EHRs) data. My focus is on linking and harmonising primary care data with hospital admissions data, social media, and wearable devices data to undertake large scale observational research. As part of my PhD, I investigated the methods to assess absolute risk assessment for coronary artery disease in Type 2 Diabetes patients using EHRs. I am also the main organiser and editor of the International Workshop on Digital Disease Detection using social media (DDDSM). I have over 15 years of experience working in various eHealth and informatics roles and lead several research projects working with diverse stakeholders such as UNSW, NSW Health, NSW Pathology and Cancer Institute NSW. Prior to that I worked in Singapore for Singapore Health Services where I was primarily responsible for developing digital health solutions to enable translational cancer research. I'm also a WHO international consultant on eHealth and Health information systems.

As part of my consulting assignments, I worked with various funding agencies, health ministries, and technical assistance agencies and not for profit organisations. In recognition of my scientific, leadership and professional activity contributions to the Digital Health discipline, I was awarded Fellowship of Australasian Institute of Digital Health in 2018 and selected to the Food and Drug Administration (FDA) network of digital health experts in 2020. I also won cash award of $15,000 in 2017 for novel AI algorithms to detect disease outbreaks using social media data. I won best Scientific Paper Award (2nd prize) at the 2016 World Congress on Nursing Informatics in Geneva, Switzerland. I was also awarded top reviewer community award by the Publons academy for my peer-review contributions. In 2022, I was also selected to the Google Cloud Research Innovators program. To date I have published over 70 publications in peer reviewed journals and conferences (2 book chapters, 50 journal publications, 22 full conference papers) with Scopus H-index of 11, in the past 5 years. I was cited in the media 3 times (2013, 2015, 2017).

My most significant contribution was the development of novel approaches to assess coronary risk using unstructured electronic records. A new method was devised and validated to assess coronary risk that led accurate prediction of risk scores when compared to traditional methods. A further important accomplishment was the novel conceptual framework in assessing risk with sparse heterogeneous data. My findings had a tremendous impact on the application of the proposed framework and approaches in assessing risk using unstructured electronic health records. One study related to this work was published in Journal of Biomedical Informatics (SJR: Q1, h-index: 91) and has received more than 60 citations in short period of time. In the past five years, I have received over $500,000 (apportioned amount) in the form of competitive funding as chief investigator which includes one category 1 project grant, two travel grants and two early career seed grants as lead investigator. I received support from National Health and Medical Research Council (NHMRC), World Health Organisation (WHO), Australian Research Data Commons (ARDC), Microsoft Asia-Pacific, Cancer Institute of New South Wales, and UNSW Medicine. I regularly peer-reviewed and actively participated in editorial duties across flagship Digital Health journals and conferences.

In the last three years I peer-reviewed 61 journal and conference publications, and guest edited two special issues. I initiated, organised, chaired, and edited proceedings for first international workshop on digital disease detection using social media (DDDSM) in 2017 which attracted.