معرفی
Heng Li is an Associate Professor of Biomedical Informatics at Dana-Farber Cancer Institute and Harvard Medical School. His research focuses on developing computational algorithms for analyzing high-throughput sequencing data, with key contributions to tools like BWA, samtools, minimap2, and seqtk. He specializes in sequence alignment, variant calling, genome assembly, and data storage.
Education:
- PhD in Bioinformatics, Wellcome Trust Sanger Institute (2009)
- PhD in Theoretical Physics, Bioinformatics Institute of Theoretical Physics, Beijing (2006)
- BSc in Theoretical Biophysics, Nanjing University (2001)
Research Interests: Computational methods for genomics, long-read sequencing analysis, pangenome research, and algorithm development. His work bridges computational innovation with practical biological problem-solving in cancer genomics, population genetics, and species evolution.
Awards:
- 2014 Highly Cited Researcher (top 1%)
- 2012 Benjamin Franklin Award for Open Source Bioinformatics
- 2009 Newcomb Cleveland Prize (Science)
Grants & Funding:
- NIH U01HG013748 (Co-PI): Tools for pangenome variant characterization
- NIH U24CA294203 (PI): Long-read cancer sequencing informatics
- NIH R01HG010040 (PI): High-throughput sequencing methods
Labs & Teams: Directs the HLi Lab, collaborating on projects like the Human Pangenome Reference Consortium and developing open-source bioinformatics tools.
