About Me

I recently completed my PhD in Chemistry at Boston University, but my interest in this field started much earlier. When I was in middle school, I came across articles on nanomaterials and became fascinated by the idea that matter at the nanoscale could behave in ways that felt both precise and surprising. That early curiosity led me to study chemistry at Purdue University, where I joined Professor Shelley A. Claridge's group and began undergraduate research on ultranarrow gold nanowires assembled on two-dimensional material templates. I later joined Professor Bjoern M. Reinhard's group at Boston University, where my research expanded toward lipid-coated plasmonic nanomaterials, excitation transfer in plasmonic nanoparticles, and biologically relevant applications such as viral inactivation.

A major turning point came during the excitation transfer project, when the scale of the data pushed me to start coding more seriously. What began as a practical need for batch processing in MATLAB gradually became a deeper interest in automation, computation, and machine learning. I started building tools to process microscopy and spectroscopy data more efficiently, and later explored whether computer vision could help identify very small nanoparticles in noisy cellular environments. That experience shaped how I now think about my work: I am most interested in using AI not as an abstract technology, but as a practical way to make scientific discovery faster, more scalable, and more insightful.