About me

I am currently a co-principal investigator, working with Prof. Sunney Xiaoliang Xie, at Changping Laboratory. My primary work focuses on integrating large language models (LLMs) for genomics with FOODIE (FOOtprinting with DeamInasE) to investigate the role of transcription factors in gene regulation.

I was a UW Data Science Postdoctoral Fellow under the supervision of Prof. Bill Noble at the University of Washington. My primary postdoctoral work focuses on developing machine learning methods for unraveling cellular dynamics, with a particular emphasis on embryonic development in mouse. See my work on the pseudotime analysis and cell cycle prediction of imaging and sequencing data.

I got my Ph.D. in interdisciplinary statistics and operations research (INSTORE) with a machine learning concentration at UNC at Chapel Hill in 2021. I was fortunate to be advised by both Prof. Jan Hannig and Prof. Yun Li. My Phd work focuses on integration of genomics and epigenomics data and uncertainty quatification. I obtained my M.S. in Statistics at UNC at Chapel Hill in 2017 and my B.S. in mathematics and applied mathematics at Beijing University of Posts & Telecommunications in 2016.

Research Interests:

Computational Biology:

Footprinting
Pseudotime analysis
Cell cycle prediction form imaging data
Single-cell RNA sequencing analyses
Allelic expression and chromatin accessibility analyses

Bioinformatics:

Genome-wide association studies
Bulk deconvolution, cell-type-specific analyses

Statistics Inference:

Generalized fiducial inference
Deep fiducial inference and approximate fiducial computation
First-order approximate fiducial inference

Epigenetics:

DNA methylation
Single-cell ATAC sequencing analyses
HiC, HiChIP/PLAC-Seq chromatin 3D organization data

Gang Li