About Me

Hi! I am a final-year Ph.D. Candidate in the Department of Computer and Information Science at the University of Pennsylvania, advised by Professor Junhyong Kim. My research focuses on deep learning and single-cell genomics, with a specific emphasis on reconstructing cell lineage trees using metric learning. Here is our recent preprint on this topic.

I am funded by The Human BioMolecular Atlas Program (HuBMAP) to develop computational frameworks for analyzing spatial proteomics and transcriptomics data across organs and donors for Female Reproductive System.

Beyond my primary research, I have contributed to several projects in computational biology, including: 📐 Developing a robust normalization method for single-cell RNA-seq data ; 🌀 Learning from an empirical kernel space for efficiently predicting protein folding; 📈 Time-series analysis of cellular phototransfection responses. I am also passionate about building data science tools to facilitate collaborative research.

I was fortunate to intern as a Senior Data Scientist at IBM’s Chief Analytics Office.

I am actively seeking full-time opportunities as a Research Scientist in AI4Science across tech, biotech, or pharmaceutical industries. Feel free to reach out!