Dr. Jiren Zhou is a computational biologist and machine-learning researcher focused on developing deep learning algorithms to predict RNA molecular properties, with particular interests in RNA modifications, RNA secondary structure, and the functional roles of RNAs in disease.

Jiren received his PhD from Northwestern Polytechnical University, where his research combined graph-based modeling and language-model approaches to study RNA interaction networks and disease-relevant regulatory mechanisms. He has experience designing computational pipelines for large-scale biological data, integrating heterogeneous signals (e.g., sequence, structural constraints, and evolutionary information) to support RNA-centric discovery. Overall, his work bridges modern machine learning and biological computation, with the goal of developing scalable, reproducible methods that advance our understanding of RNA biology and accelerate translational applications.