Our research interest is the development of computational genomic tools for the study of human diseases and cellular development. We focus on detailed analyses of genomic and epigenomic data generated by high-throughput sequencing to address specific questions related to disease progression, treatment response, stem cell differentiation and neurological processes.
A primary focus of our efforts is dedicated to the support and development of the Epigenomics Core at Weill Cornell. As part of this we are developing extensive computational pipelines for the analysis of high-throughput sequencing data with a specific emphasis on epigenetics characterization and quality control. In addition, we are developing new methods to interrogate novel epigenetic markers and evaluate existing algorithms.
A second component of our research work involves detailed analyses of genomic data in the context of specific biological domains in order to gain a mechanistic understanding of these processes. These include:
- Profiling microbiome in gastric tissues to characterize the impact of stomach microbiome on tumorgenesis.
Collaborator: Manish Shah (WCMC)
- Modeling late onset neurodegenerative diseases using iPSC and induced aging phenotype.
Collaborator: Lorenz Studer (MSKCC)
- Post-transcriptional gene regulation by miRNA and protein-RNA interactions.
Collaborator: Andrea Ventura (MSKCC)
- Genomic and transcriptional profiling towards understanding of response to chemotherapy in gastric cancer patients.
Collaborators: Evi Giannakakou and Manish Shah (WCMC).
- Understanding spatial and temporal regulation of synaptic protein synthesis during storage and consolidation of long-term memories.
Collaborator: Sathya Puthanveettil (Scripps).