Research: 

We develop computational methods and scalable pipelines to decode noncoding RNAs and their epigenetic modifications from diverse high-throughput sequencing data—advancing precision diagnostics and therapeutics.

• AI-Driven Algorithms & Software Develop algorithms and user-friendly software to profile RNA modifications, circular RNAs, lncRNAs, and fusion transcripts—and to predict RNA-based biomarkers and therapeutic targets.
• Scalable Multi-Platform Pipelines Build end-to-end workflows for bulk and single-cell RNA-seq, long-read sequencing, and epigenomic assays, enabling efficient processing of large-scale, multi-omics datasets.
• Translational Discovery Integrate computational findings with clinical and genetic data using machine learning/deep learning methods to identify RNA signatures of disease, guiding the development of RNA-based diagnostics and precision-medicine strategies.

Current Lab member:

Zixiu Li (postdoc)

Peng Zhou (Graduate student)

Euijin Kwon (Graduate student)

TienChan Hsieh (Clinical Fellow)

Join our team!  We are looking for creative and passionate Postdoctoral Candidate:  

The lab member will benefit from collaboration with world-class biologists and physicians from UMass and Harvard medical area, MIT and other prestigious institutes. To ensure the success of career development of our lab member, Dr. Zhou will tailor Lab member’ trainings to meet the career goals of individual lab member.

Pls email Chan Zhou : chan DOT zhou AT umassmed.edu to learn more

Postdoctoral Associate: Please email Chan with your cover letter (including research interests) and CV (including a list of publication, computational skills, and a list of at least 2 referee).

REQUIRED QUALIFICATIONS:

• Ph.D in computational biology, bioinformatics, computer science, mathematics, statistics, biophysics, engineering, biological sciences or related field. Ph.D candidates anticipating thesis defense are encouraged to apply for hire after completion of Ph.D.
• Experience in method development and/or analysis of single-cell or long-red seq data is preferred.
• Working knowledge of molecular biology and sequencing technologies
• Proficiency with Unix/Linux shell and at least one of the following programming languages:  C, C++, Python, Perl or R.
• Excellent communication and writing skills
• Previous record of independent research with first-/corresponding- author publications.
• Able to work both independently and in teams
• Excellent teamwork and time management with the ability to meet deadlines and multi-task across multiple research projects.