Li Song

Li Song is an Assistant Professor at the Department of Biomedical Data Science within the Geisel School of Medicine at Dartmouth College. He earned his Ph.D. in Computer Science (2018) and a Master's in Applied Mathematics and Statistics from Johns Hopkins University, advised by Liliana Florea. He completed postdoctoral training in the labs of X. Shirley Liu and Heng Li at the Data Science Department of Dana-Farber Cancer Institute.

• Education
  • Ph.D. in Computer Science (Johns Hopkins University, 2018)
  • M.S. in Applied Mathematics and Statistics (Johns Hopkins University)

Research Focus: Designing algorithms for next-generation sequencing data analysis in immunology and microbiology. Key projects include:

• TRUST4 - De novo assembly of T-cell/B-cell receptors from RNA-seq
• T1K - Genotyping of polymorphic HLA/KIR genes
• Centrifuger - Compressed microbial genome classification
• Chromap - Ultrafast chromatin profiling data processing

Recent Publications demonstrate expertise in computational immunogenetics, metagenomic analysis, and chromatin profiling workflows. The 2024 Genome Biology paper on Centrifuger received a Best Paper Award at RECOMB2024.

Training & Recruitment: The Song Lab actively seeks postdocs and graduate students through the Quantitative Biomedical Sciences program and Department of Computer Science at Dartmouth.