Summary
Jianlin Cheng is a Curators' Distinguished Professor of computer science and bioinformatics at the University of Missouri, combining over two decades of academic and industry experience to advance AI-driven solutions for biomedical problems. His research spans protein structure and function prediction, genome 3D modeling, and reconstruction of biological networks from multi-omics data, producing dozens of widely used bioinformatics tools. He applies a cross-disciplinary toolkit—machine learning, deep learning, optimization, statistics, and data mining—to turn large-scale genomics, transcriptomics, proteomics, and metabolomics datasets into actionable models. Beyond research, he teaches, mentors graduate students, and translates methods into software adopted by life scientists worldwide, reflecting both theoretical depth and practical impact. An early software engineer in visual effects, he brings a pragmatic software-development mindset to computational biology projects.
9 years of coding experience
15 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Utah State University
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Huazhong University of Science and Technology
University of California, Irvine
English, Chinese