Martin Jinye Zhang

Martin Jinye Zhang is an Assistant Professor in Computational Biology at Carnegie Mellon University's School of Computer Science. His research bridges genetics and machine learning, focusing on integrative analysis of genetics and functional genomics data to uncover disease mechanisms.

• Ph.D. in Electrical Engineering (2019, Stanford University)
• B.Eng. in Electrical Engineering (2014, Tsinghua University)

Key research areas include:

• Developing scDRS for single-cell disease relevance scoring
• Using graph foundation models to integrate genetic variants and regulatory elements
• Advancing empirical Bayes methods and causal inference in genomics

His 15 most recent articles span topics from single-cell RNA-seq to genetic architecture, with a focus on autoimmune disorders, brain diseases, and metabolic traits, often leveraging biobank-scale data. Notably, his work demonstrates how machine learning can enhance GWAS interpretation and drug target identification.