Our group is developing computational methods to model and solve problems in biology and medicine, fueled by the wealth of sequence data generated by new and evolving sequencing technologies. We design accurate and efficient algorithms and software tools to tackle current problems in genome assembly, gene and alternative splicing annotation, microRNA genomics and host-pathogen interaction, and apply them to characterize the genetic and genomic landscape of different cellular states and different organisms.
Our work is currently being supported by NIH grants R01GM124531 and R01GM129085.
We have openings for doctoral and postdoctoral positions.
- 7/2020 - Zoom talk at the SPLICING2020 conference on our most recent differential splicing detection tool MntJULiP (with Guangyu Yang)
- 5/2020 - Posters on detection of Alu RNA insertions and differential splicing from RNA-seq data, at the CSHL's (Virtual) Biology of Genomes Meeting (with Guangyu Yang, Lindsay Payer and Kathy Burns)
- 11/2019 - Our paper describing our simultaneous multi-sample transcript assembler PsiCLASS was published in Nature Communications (with Li Song, Sarven Sabunciyan and Guangyu Yang)
- 9/2019 - We received an NIH R01 grant to design tools for analyzing massive collections of RNA-seq data
- 8/2019 - A collaborative paper on the molecular basis of telomere disorders (with Mary Armanios)
- 6/2019 - A collaborative study on the gut microbiome changes in medical weight loss (with GIM's Jeanne Clark and Clare Lee)
- 12/2018 - A collaborative paper on alternative splicing in HNSCC (with Daria Gaykalova)
- 7/2018 - Talk on PsiCLASS and JULiP at the second annual SPLICING2018 conference
- 6/2017 - A webinar I gave in connection with the upcoming Next Generation Sequencing and Single Cell Sequencing USA Congress
- 4/2017 - Invited talk at the First Symposium on Translational Precision Oncology in Romania and an interview I gave to Radio Romania Cultural (in Romanian)