Summary
Cuncong Zhong is an associate professor at the University of Kansas with a decade of experience at the intersection of algorithms and computational biology, focusing on non-coding RNA structures, genomics, epigenetics, metagenomics, and sequence assembly. He combines rigorous academic training (PhD and MS in Computer Science) with industry-facing experience from roles at Illumina and J. Craig Venter Institute, translating next-generation sequencing challenges into scalable algorithmic solutions. His work spans theory and practice—from designing algorithms for ncRNA identification to hands-on metagenomic assembly and annotation—bridging computer science and biotechnology. As a former scientific consultant and longtime researcher, he brings a practical flair for applying computational methods to real-world sequencing and microbiome problems, often tackling noisy, large-scale datasets that require both novel algorithms and engineering pragmatism.
10 years of coding experience
13 years of employment as a software developer
Exchange scholar Chemical Engineering, Exchange scholar Chemical Engineering at Nanyang Technological University Singapore
Bachelor of Science (B.S.) biotechnology, Bachelor of Science (B.S.) biotechnology at Huazhong University of Science and Technology
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Central Florida
Chinese, Chinese, English