Dr. Craige research focuses on elucidating genomic, transcriptomic, and epigenomic mechanisms of disease progression and response. He was awarded the highly coveted and competitive Computing Research Association (CRA), the Computing Community Consortium (CCC), and the National Science Foundation (NSF) 2021 Computing Innovation Fellowship. His thesis research work was in the area of pediatric epilepsy and his postdoctoral research fellow is focus on computational oncology, at the School of Health Professions at Rutgers University Biomedical and Health Sciences Department.

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Research Projects

Epilepsy Associated Genes
Epilepsy Associated Genes

Epilepsy Associated Genes

Epilepsy is a severe and potentially life-threatening neurologic condition and is the most common brain disorder worldwide, affecting approximately 1.2% of the global population. Elucidating the genetic mechanisms by which injury sparks spontaneous seizures will help identify therapeutic targets, develop safe and effective treatments and further the understanding of epilepsy as a multi-faceted and heterogeneous pathological condition. Dr. Craige's aim is to develop genetic tools and utilize gene expression pathway analysis to  identify a number of genes associated with epilepsy. Understanding the pathologic process and neuronal damage caused between the initial insult and the eventual development of chronic epilepsy is of great scientific and clinical interest. Learn More >

Prostate Cancer Computations
Prostate Cancer Computations

Prostate Cancer Algorithms

Despite recent advances in diagnosis and monitoring prostate cancer, the high mortality rate for this disease remains unchanged. Prostate cancer growth and survival are dependent on androgens, and thus anti-androgens have been the mainstay of treatment. Dr. Craige's aim is to lead translational inter-disciplinary research to advance the understanding of cancer genomics and medicine through a series of novel computational investigations to elucidate the mechanisms of therapeutic resistance in prostate cancer patients, that can significantly optimize the search for novel treatment strategies for patients who have failed standard-of-care anti-androgens and provide valuable candidates for therapeutic intervention. Learn more >

CiDrep SickKid's research focuses on the use of computational biology (CB), translational research (TR), and biomedical informatics (BMI) methods, funded by income and grants therefrom to support research to embrace heterogeneity in data that can accelerate translational medicine to decipher disease for diagnostics and therapies to understand diseases and improve child health and other research areas.

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