Personal statement:

I am interested in applying computational approaches to immunological research, particularly to better understand the diversity, evolution, and functional states of immune cells. Outside of my academic work, I enjoy reading, working out, and spending time in
nature.

Research statement:

My research interests focus on using single-cell gene-expression data to study antigen-specific immune responses. I am particularly interested in identifying immune cells that recognize a defined antigen and examining how their gene-expression profiles reflect their activation, differentiation, and functional states.

Projects:

• Repertoire-level analysis of Spike-associated BCR motifs – Bioinformatics Research Methods course project:  I analyzed paired heavy- and light-chain B-cell receptor repertoires from donors with and without a history of COVID-19. The project examined germline-encoded Spike-associated CDR2 motifs, their preservation following somatic mutation, light-chain V-gene usage, clonal patterns, and somatic mutation and selection patterns in naïve and memory B-cell populations.