Lijun Cheng, PhD
Assistant Professor
Biomedical Informatics
Academic contact
Academic information
- Department: Biomedical Informatics
Research interests
- Developing Interpretable and Scalable AI Models for Biomedical Discovery
- AI for Precision Medicine
- Multi-omics Integration
- Graph AI & Network Biology
- Tumor Microenvironment & Immunology
- Drug Discovery & Repurposing
About
Biography
I am an associate professor of Biomedical Informatics at The Ohio State University College of Medicine, a computational biologist and an artificial intelligence researcher. I am dedicated to advancing precision medicine through integrative data science, and my research broadly focuses on developing interpretable and scalable AI models for biomedical discovery.
My work lies at the intersection of AI, bioinformatics and translational medicine. I strive to bridge AI and medicine by developing computational frameworks that translate complex biological data into clinically actionable insights. Through my work, I aim to advance early disease detection, accelerate drug development and enable more personalized treatment strategies.
I develop AI-driven and graph-based methodologies to integrate multi-omics data, model complex biological systems, and identify actionable targets in cancer and other complex diseases. My previous experience includes projects that identified therapeutic targets for conditions such as macular degeneration, neuropsychiatric lupus and preeclampsia.
I am an active contributor to the scientific community. I serve as a peer reviewer for leading journals including Nature, Cancer Research, Cancers and PLOS Computational Biology, and I am an editor for Frontiers in Pharmacology. I also review NIH Program Project (P01) and R01 grant applications.
My responsibilities at the Ohio State College of Medicine include serving on the Biomedical Informatics Education and Award Committees, as well as the Biomedical Sciences Graduate Program Admissions Committee.
Credentials
Education
- PhD - Control Science and Engineering
- Donghua University, Shanghai, China
- MA - Computer Science
- Xinjiang University, Xinjiang, China
- BA - Applied Mathematics
- Xinjiang Normal University, Urumqi, China
Research
Research interests
- Developing Interpretable and Scalable AI Models for Biomedical Discovery
- AI for Precision Medicine
- Multi-omics Integration
- Graph AI & Network Biology
- Tumor Microenvironment & Immunology
- Drug Discovery & Repurposing