PhD candidate in Biostatistics
I am a PhD candidate in the Graduate Group in Biostatistics at University of California, Berkeley, advised by Prof. Yun S. Song. Committed to advancing our understanding of biology through rigorous computational and statistical frameworks, I specialize in distilling insights from high-dimensional and noisy biomedical data. My methodological focus encompasses statistical machine learning and deep learning techniques, which I apply to a wide array of biological questions spanning cell biology, cancer immunology, and neuroscience. I am particularly captivated by the untapped potential of emerging technologies such as spatial transcriptomics and CRISPR-screening, which I believe are key to unraveling the complex molecular landscapes underlying tumor microenvironments and cellular interactions.