Throughout my life, I have lived in China, South Africa, Canada and the US where I completed my undergraduate studies at Cornell University in 2018. I majored in computer science and computational biology with a focus on machine learning and statistical genetics. At Cornell, I worked with Dr. Alon Keinan and Dr. Kaixiong Ye on a human population genetics study to elucidate the evolution of human dietary adaptation in Europe and India. I first became interested in RNA biology through an internship at Regeneron Pharmaceuticals where I worked with machine learning tools to analyze B cell class switching and T cell receptor diversity in single cell data.

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I started graduate school at Penn in 2018 and join the Barash Lab in 2019. I am broadly interested in computational and statistical modeling of RNA and developing bioinformatics tools that will benefit the RNA community at large. I am currently working on non-parametric Bayesian approaches for modeling heterogenous cancer data and plan to eventually work on projects involving developing statistical methods to improve RNA experimental design. I am also interested in developing machine learning methods to facilitate single cell RNA analysis.