Profile Summary

Expertise

• Clinical Medicine and Population (Public) Health, specialising in Environmental Health
• Artificial Intelligence and Machine Learning
• Epidemiological Data Analysis
• Human digital twins
• R, Julia, and Python
• Data Science, Machine Learning
• Health technology assessments, meta-analysis, and human health risk assessments

PROFESSIONAL OVERVIEW

I am a medical doctor & epidemiologist with skills of using machine learning and artificial intelligence for precision public health, epidemiological modelling, and design of digital twins. My aim is integrating medicine and public health through advanced data science, machine learning, and artificial intelligence. I am a collaborator of the Global Burden of Disease, and I am a co-Chair of the Telehealth Working Group of International Medical Informatics Association

CORE EXPERTISE

• Epidemiology, epidemiological modelling, and data analysis
• Machine Learning and Artificial Intelligence and their application in population health
• Digital Twin Technology, Telemedicine, Precision Public Health
• Digital Therapeutics (DTx), Software as Medical Device, & Predictive Modeling

PROFESSIONAL EXPERIENCE

University of Canterbury, New Zealand
Associate Professor, School of Health Sciences | 2020 – 2026 (February)
Senior Lecturer | 2007 – 2019

EDUCATION

• PhD in Public Health Sciences, St. Louis University (2012)
• Master of Public Health (MPH), East Stroudsburg University (1997)
• Bachelor of Medicine and Surgery (MBBS), University of Calcutta (1992)

LEADERSHIP & KEY FUNDING

• Principal Investigator, HRC: Human Digital Twins for reversing Type II Diabetes ($150,000)
• Co-Chair, Telehealth Working Group of the International Medical Informatics Association (IMIA)
• Fellow, International Academy of Health Sciences Informatics