I have extensive and broad clinical training in all aspects of gastroenterology, hepatology and nutrition, and advance subspecialty training in Inflammatory Bowel Disease; my clinical passion. I have trained in numerous expert leading institutes across the world: Kings College Hospital, London, Sydney Children’s Hospital and the Hospital for Sick Children, Toronto.
The primary focus of my research program is to employ predictive analytics and machine learning approaches to study the clinical and biological determinants of outcomes in Inflammatory Bowel Disease (IBD), an inherently complex and heterogeneous disease. One of our goals is to develop a robust machine learning analytical platform to further advance precision medicine in digestive diseases. With our collaborators we are currently leveraging state-of-the-art machine learning approaches to build cell classifier tool and employing deep learning approaches to derive novel disease predictive histologic signatures. We would envisage developing accurate predictive tools reflective of the population we treat, to inform clinical decision making. Furthermore, another focus of our program is to utilize the data infrastructure of the ImproveCareNow Network as a foundation to understand the social determinants of health as a means of closing gaps in outcomes of IBD care.
Previous research projects have focused on defining the heterogeneity of pediatric IBD, classifying the type of IBD, and most recently exploring the ethno-racial differences in pediatric IBD.