I am a Postdoctoral Research Fellow at the Laboratory of Integrative Cancer Immunology, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland. Previously, I worked as a Postdoctoral Fellow at Dalhousie University under the supervision of Dr. Shashi Gujar and Dr. Tobias Karakach. I also briefly served as a Postdoctoral Researcher at the Cancer Mutation Research Center, Chosun University, South Korea.

I earned my Master’s degree in Information Technology from the Department of Computer Science and Engineering at Tezpur University, where I applied data mining techniques to identify protein complexes in protein–protein interaction networks under the guidance of Prof. Rosy Sarmah. The outcomes of my graduate research were published in peer-reviewed journals and led to my doctoral training in South Korea. I completed my Ph.D. in Bioinformatics at the Department of Biomedical Sciences, Chosun University, under the supervision of Prof. Seung Joo Cho.

Over the years, I have developed strong programming skills in R , C , C++ , Java , and Python . I implemented several methods proposed in my Master’s dissertation using Java APIs; the corresponding software and executables are available here. During my graduate and doctoral training, I gained extensive experience in data mining of protein–protein interaction networks and molecular modeling techniques, including protein modeling, molecular docking, molecular dynamics simulations, enhanced sampling methods, free-energy calculations, virtual screening, and linear modeling using 3D quantitative structure–activity relationship (3D-QSAR) analysis.

During my postdoctoral fellowship at Dalhousie University, I worked on collaborative projects involving RNA-sequencing and whole-exome/genome sequencing data from Mantle Cell Lymphoma (MCL) patients to identify genomic mutations and differentially expressed genes associated with MCL. This work included the identification and generation of MCL-specific and mutation-associated antigens through mutation analysis and epitope prediction and is ongoing in Dr. Shashi Gujar’s laboratory. I also contributed to an error-modeling project aimed at characterizing error structures in LC-MS/MS proteomics data.

In my current role at the NIH, I apply bioinformatics approaches to study and characterize immune cell populations in glioblastoma.