About me

I will join Univerity of Washtington as UW Data Science Postdoctoral Fellow under the supervision of Prof. Bill Noble in this Summer. My postdoctoral work focuses on developing machine learning methods for interpreting high-throughput genomic data sets with respect to 3D genome architecture, with a particular emphasis on embryonic development in mouse.

I am a fifth year Ph.D. candidate in Interdisciplinary Statistics and Operations Research (INSTORE) with machine learning concentration at UNC at Chapel Hill. I am fortunate to be advised by both Prof. Jan Hannig and Prof. Yun Li. I obtained my M.S. in Statistics from the UNC in 2017 and my B.S. in mathematics and applied mathematics from Beijing University of Posts & Telecomunications in 2016.

Research Interests:

Statistics Inference:

Generalized ficuial inference
Deep fiducial inference and approximate fiduicial computation
First order approximate fiducial inference

Bioinformatics:

Single-cell RNA sequencing
Genome-wide association Studies
Bulk deconvolution, cell type specific analyses
Structual variation, copy number variation

Epigenetics:

DNA methylation
HiC, HiChIP/PLAC-Seq chromatin 3D organization data

Contact:

Department of Genome Sciences & eScience Institute
University of Washington, Seattle
Email: gangli@uw.edu

Department of Statistics and Operations Research
University of North Carolina, Chapel Hill
Email: franklee@live.unc.edu