Welcome to the Davuluri Lab

We are a dynamic group of Data Scientists in The Department of Biomedical Informatics, Stony Brook University. Our research program builds on the foundations in Statistics, Machine Learning, Discovery Genomics and more recently application of Deep-Learning algorithms to the complex problems in Cancer Data Science, particularly for integrative analyses of transcriptome, epigenome and other molecular data. The central hypothesis of our research is that the isoform-level gene products “transcript variants” and “protein isoforms” are the basic functional units in the mammalian cell, and accordingly, the informatics platforms – ranging from basic molecular biology data management systems to the biomarker and therapeutic drug target discovery for precision medicine – should adapt “gene isoform centric” rather than “gene centric” approaches. To this end, we are developing novel informatics methods focused on understanding gene-regulation at isoform-level in normal and disease conditions (see Research).

We are located in The MART Building, which is connected to the Stony Brook Cancer Center and Stony Book Hospital.

We closely work with numerous collaborators. The colloborators who are associated with Stony Brook University and Stony Brook Cancer Center are Yusuf Hannun, Chiara Luberto, Joel Saltz, Prateek Prasanna, Tahsin Kurc, Shao-Jun Tang and Jennifer Williams. We also work with a lot collaborators outside Stony Brook University, including Han Liu lab at Northwestern University, Evanston, Daniela Matie Lab at Northwestern University, Feinberg School of Medicine, Chicago; Ken Nephew Lab at Indiana University, School of Medicine, Patricia Thompson at Cedar Cinai Cancer Center and George Calin at MD Anderson Cancer Center.