We are interested in solving the challenging computational problems in biology. Specifically, we aim to
- study theory and design algorithms for the mathematical formulations abstracted from computational biology, and
- develop tools and software that can be widely used and impactful to advance biology and biomedicine.
Current research topics include:
- locality sensitive hashing
- transcriptome assembly
- single-cell RNA-seq analysis
- tools for analyzing error-prone long-reads
- genome rearrangements
- any fundamental, algorithmically interesting problem in computational biology
Our research is generously supported by the Penn State start-up funds, the Charles K. Etner Early Career Professorship, NSF DBI-2019797, NIH R01HG011065, and NSF CAREER award.