Machine Learning, Comparative Genomics, Transcriptional Regulation, Chromatin Organization, Application of Computational Genomics in Tissue Regeneration and Cancer
Bangladesh University of Engineering and Technology
2006
Research and Expertise
Research Interests
We want to explain how genotype translates to phenotype, and apply this knowledge in the context of tissue regeneration and cancer. In particular, we are working to relate DNA sequence and structure to the regulation of gene expression and chromatin organization under both normal (i.e., healthy/wildtype) and perturbed (i.e., diseased/mutant) conditions. To this end, we leverage machine learning, algorithms, biophysics, and comparative genomics to develop robust statistical models for massive and complex biological datasets.
Publications/Creative Works
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