Dr. Gottlieb's lab is interested in understanding and modeling drugs mode of action and their relation to drug efficacy, adverse reaction and pharmacogenomics. His lab employs an integrative computational approach, combining multiple types of data and applying methodologies from systems medicine, machine learning and causal inference domains to identify population and patient-level factors associated with drug efficacy and adverse reactions and to suggest candidates for drug repurposing. Additionally, his research leverages electronic health records for hypothesis generation and validation of therapeutic outcomes. Our lab is currently involved in interesting projects beyond therapeutics. The first project predicting gene expression from genomic polymorphism. Another project involves collaboration with the Department of Pediatric Surgery, studying traumatic brain injury. Last, we have projects in initial phases in detecting genomic locations associated with coronary artery disease and Alzheimer's disease.
Publications/Creative Works
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Affiliations
Training Grants
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
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