Cambridge, Massachusetts, United States
Student at Harvard, interested in Investment Banking
TMT Group
Spring Week Internship Program
PROFET model utilises gradient flow and AI to examine how gene expression levels change during cancer I assisted with the codebase and wrote code to evaluate model performance and accuracy Research paper titled “PROFET Predicts Continuous Gene Expression Dynamics from scRNA-seq Data to Elucidate Heterogeneity of Cancer Treatment Responses” is undergoing peer review in Nature Biotech. I am listed as an author. https://www.biorxiv.org/content/10.1101/2025.06.27.662030v1
Modelling the Motion of Cells in an Electric Field - My research utilizes a deep attention network (AI) on the Princeton supercomputer to deduce the rules underpinning collective motion of MDCK cells in an electric field. I fixed a former lab member’s deprecated AI model, linked to her PhD thesis, and continued her research. My research was highly commended in the SPGS Senior Scholarship Competition. Cell Scratching Device SCRATCH - I collaborated with the other intern in the Cohen lab to design a machine which creates uniform wounds in petri dishes of cells, to study the biology of wound healing. We modified a drawing machine to create a high-precision, high-throughput, 3-dimensional cutter. I built an image analysis pipeline in FIJI (ImageJ), MATLAB and Python to quantify the variation in our wound dimensions. Our research was published in Cell Reports Methods, linked below. https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(24)00305-9