Activities

PROFESSIONAL EXPERIENCE

2022 – Present
Senior Bioinformatics Research Scientist → Lead Bioinformatics Research Scientist
St. Jude Children's Research Hospital
2021 – 2022
Senior Bioinformatics Analyst → Assistant Professor of Bioinformatics Research in Pediatrics
Weill Cornell Medicine
2019 – 2021
Postdoctoral Scholar
University of Chicago
2015 – 2018
Postdoctoral Scholar
Mississippi State University
2013 – 2014
Visiting Scholar
Miami University

RESEARCH INTERESTS

  • Single-cell Multi-Omics approaches, including demultiplexing, clustering, multimodal integration, and immune-repertoire profiling.
  • Spatial omics approaches for studying tissue organization, cellular interactions, and disease-associated microenvironments.
  • Cancer biology, with emphasis on understanding pediatric cancer origins and progression using single-cell, spatial, and multi-omics approaches.
  • Evolutionary genetics, viral adaptation, and B-cell antibody responses, with applications to vaccination, antigen design, and respiratory viral infections.

EDUCATION

Xiamen University
Xiamen, China · 2011 – 2015
Ph.D. System Engineering / Bioinformatics
Xi’an Jiaotong University
Xi’an, China · 2009 – 2011
M.S. Control Engineering / Natural Language Processing
Xi’an Jiaotong University
Xi’an, China · 2005 – 2009
B.S. Automation

CONTACT

Advanced Research Center - St. Jude Children's Research Hospital
262 Danny Thomas Place
Memphis, TN, 38105
USA

Email: lei.li[at]stjude.org or leilioxford[at]gmail.com

PROJECTS

RVEAtlas

A comprehensive platform that tracks amino acid variation and clade evolution across respiratory viruses.

RSVrecon

An efficient workflow to screen clinically relevant genomic variations of RSV from NGS data.

HTOreader

A hybrid single-cell demultiplexing strategy that increases both cell recovery rate and calling accuracy.

VGenes

An integrated graphical tool for efficient, comprehensive, and multimodal analyses of massive B-cell repertoire sequences.

Librator

A platform for optimized sequence editing, design, and expression of influenza virus proteins.

LinQ-View

A joint single-cell analysis strategy that integrates transcriptome and surface-protein markers for cell heterogeneity identification.

Selecting representative samples from a single-cell atlas using k-medoids clustering.

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