

Pathogen-responsive, cell-Specific network explorer (PathCellNet):
Advanced resources are important to improve our ability to extract knowledge from high-through put datasets. Ideally, these resources...
My primary research focuses on the opportunities at the intersection of health data science, computation, and biology. I apply computational models for understanding the rich contextual information associated with most data sets in a variety of real-world domains and using them to infer complex patterns. Throughout my career, I have tried to define my research interests by the demands of health care and how they could be satisfied by the modern computing approaches. A brief synopsis of my research interests include:
Designing efficient inference and knowledge extraction pipelines for the models capable of handling uncertainties and interdependencies among large-scale data sets, a characteristic that is predominantly associated with large-scale biological data sets.
Using a combination of modern analytical and machine learning skills for extracting the rich contextual information associated with complex data sets.
Predictive modeling and computational analysis of disparate data sets, such as electronic health records, scientific texts, and high-throughput experiments.
Developing bioinformatics strategies for mapping and understanding the interplay of genetic and environmental mechanisms of human disease.
Investigating the multidimensional and integrated molecular data to understand the biological mechanism and the etiology of the diseases.
Inferring the causes and consequences of environmental insult on human health with emphases on neuropsychiatric disorders, infectious diseases, and adverse birth outcomes.
Connecting the dots from climate observations to disease prevalence with an overarching goal to formulate testable hypotheses from biomedical data.
Improving human health by mining large country-scale clinical databases to predict disease outcomes and investigate existing drugs for new therapeutic purposes.
Understanding the epidemiology of infectious diseases and assessing prevention and treatment programs for emerging and established infectious diseases.