I'm a Research Fellow in Biomedical Informatics at Harvard Medical School. My research addresses challenges in visual analysis of large-scale, interconnected, and heterogeneous biological datasets. I apply techniques from bioinformatics, information visualization, and computer science.
In 2025, I completed my PhD in Bioinformatics and Integrative Genomics at Harvard Medical School, advised by Nils Gehlenborg. During my PhD, I explored how visual analytics systems can be used for interactive visualization of multimodal and spatial single-cell datasets, addressing challenges that range in scale from individual experiments to whole atlases.
I received my undergraduate degree from the University of Maryland, College Park 🐢 in 2019, where I studied Computer Science and worked as an undergraduate research assistant in the Leiserson Research Group on analysis of cancer genomics data using mutational signature decomposition techniques.
My long-term goal is to develop tools that enable interpretation and communication of complex and interconnected biological datasets, informed by close collaboration with target users and existing literature.
In 2025, I completed my PhD in Bioinformatics and Integrative Genomics at Harvard Medical School, advised by Nils Gehlenborg. During my PhD, I explored how visual analytics systems can be used for interactive visualization of multimodal and spatial single-cell datasets, addressing challenges that range in scale from individual experiments to whole atlases.
I received my undergraduate degree from the University of Maryland, College Park 🐢 in 2019, where I studied Computer Science and worked as an undergraduate research assistant in the Leiserson Research Group on analysis of cancer genomics data using mutational signature decomposition techniques.
My long-term goal is to develop tools that enable interpretation and communication of complex and interconnected biological datasets, informed by close collaboration with target users and existing literature.