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.
Generalized ficuial inference
Deep fiducial inference and approximate fiduicial computation
First order approximate fiducial inference
Single-cell RNA sequencing
Genome-wide association Studies
Bulk deconvolution, cell type specific analyses
Structual variation, copy number variation
HiC, HiChIP/PLAC-Seq chromatin 3D organization data
Department of Genome Sciences & eScience Institute
University of Washington, Seattle
Department of Statistics and Operations Research
University of North Carolina, Chapel Hill