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. I am funded by The Human BioMolecular Atlas Program (HuBMAP) to develop computational frameworks for spatial biology.

My research centers on representation learning, particularly in designing robust and biologically meaningful embeddings to enable automated scientific discovery. I work at the intersection of machine learning, single-cell genomics, and computational biology, with ongoing efforts in:

• Learning Hierarchical representation: CellTreeQM
• LLM-based automatic scientific discovery: Aegle (ongoing)
• Robust representation: BooleanSpurious, RFNorm
• Design Protein Embedding Space by Empirical Kernel: PESS
• Construct integrative embedding space for cellular developmental preturbation responses: Argos (ongoing)

I previously interned as a Senior Data Scientist at IBM’s Chief Analytics Office, where I worked on model deployment and decision optimization.

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