Sumeet Kalia

Sumeet Kalia is an Assistant Professor in the Department of Statistics at the University of Manitoba’s Faculty of Science. His research focuses on causal inference, pharmacoepidemiology, randomized controlled trials, and high-dimensional machine learning applied to healthcare data. He leverages electronic health records (EHRs) to study longitudinal disease surveillance, medication effects, and pandemic impacts on populations. His work emphasizes methodological advancements in handling observational data, such as calibrated inverse probability weighting and marginal structural models.

Key research areas include evaluating treatments for chronic conditions like diabetes and schizophrenia, analyzing pandemic effects on mental health, ADHD care, and childhood growth, and improving primary care outcomes through data-driven approaches. Kalia collaborates closely with healthcare systems to translate statistical methods into actionable clinical insights. His lab, EpiBioStats, explores interdisciplinary applications of statistics in epidemiology and biostatistics.

Recent studies highlight the use of NLP for clinical text analysis in public health monitoring and the impact of socioeconomic factors on healthcare access. Despite prolific publication output, no scientific awards are explicitly listed in the provided text. He advises no visible students in the data but collaborates on grants focused on polypharmacy, guideline dissemination, and healthcare equity. His work bridges methodological rigor with real-world healthcare challenges, emphasizing reproducibility and translational impact.