I specialize in developing computational approaches for cancer and Immuno-oncology research. I worked in close collaboration with wet-lab experimentalists to bridge the gap between theory and application. I have extensive experience of problem solving and effective communication in a fast-paced environment of both experimental and computational biology. I have a tracked record of designing, developing and interpreting experimentally- and clinically-relevant genomic analyses. I am dedicated to qualifying bias, robustness and the reproducibility. I thrive on creative translational solutions for complex biological problems, collaborative work, leadership of competitive groups and constant learning and discovery.
Pre-Doctoral Visiting Fellow
Laboratory of Immune Cell Biology, NCI, NIH, October 2016 – Present
Cancer Data Science Laboratory, NCI, NIH, January 2018 – Present
Graduate Research Fellow
University of Maryland, August 2014 – October 2016
Single-cell resolution profiling of tumor-reactive CD4+ T-cells
Discovery of unknown tumor infiltrating subpopulations relevant for improved immunotherapy strategies using whole-genome single-cell RNA-seq.
Discovery of clinically Relevant functional gene interactions
Data driven approach to detect multi-type functional gene interactions and their association with clinical outcome.
Team Lead Of ReSET (Robust Subpopulation Discovery Using dEcision Trees)
A novel computational approach to discover cell subpopulation hierarchy to define robust populations using single-cell RNA-Seq experiments.
Lead of NIH Mentorship program
I have led and facilitated a program to connect NIH investigators with trainees to improve the skills of graduate students and future faculty.
NIH Fellows Award for Research Excellence (FARE)
For outstanding scientific research performed by intramural fellows.
NIH Single-Cell Genomics Interest Group Research Excellence
For the computational and methodological contributions in the field of single-cell genomics; improving the sensitivity and reproducibility of current approaches.
NIH Immunology Interest Group Workshop, CSHL Translational Research Pitch Showcase Presentation at the Gene Expression & Signaling in the Immune System Meeting, NIH Immunology Branch Seminar, etc.
Fourth International Cancer Immunotherapy Conference, TCGA Legacy: Multi-Omic Studies in Cancer, CSHL Gene Expression and Signaling in the Immune System, NIH Immunology Interest Group Workshop, Cell/AACR/NIH/NCI Annual Meetings, Future Faculty Program,etc.
Science and Technology Department Liaison - UMD CMNS Graduate Student Council, Fellows Committee Liaison - NIH Graduate Student Council.