Abstract: Accurate real-time prediction of key quality variables is critical for complex industrial processes like hydrocracking, where data exhibits multivariate nonlinearity, time delays, and ...

Abstract: To utilize water resources optimally, plan agricultural activities properly, and manage the risks of natural disasters in a country such as India where the economy relies heavily on the ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

My work has focused on biostatistical methodology and its applied translation to research in mental health, substance use, obesity, and health services, policy, and equity. I have worked extensively ...