I am a postdoctoral fellow mentored by Dr. Stephanie Hicks and Dr. Hongkai Ji in the Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health. I received the NIH Pathway to Independence Award (K99/R00) (1K99HG011468-01, 5K99HG011468-02) from NIH/NHGRI in March 2021, with the mentorship from Dr. Hongkai Ji, Dr. Stephanie Hicks, and Dr. Andrew Feinberg, to develop computational methods for inferring single-cell DNA methylation and its spatial landscape. Before that I was jointly mentored by Dr. Suchi Saria and Dr. Aravinda Chakravarti on gene regulatory network inference using longitudinal transcriptomics and chromatin accessibility data. My research interests mainly focus on developing statistical machine learning methods to tackle the challenges in the intersection of statistics, single-cell genomics, epigenomics and spatial transcriptomics, mathematical modeling of gene regulatory networks, and ultimately understanding gene regulatory mechanisms. The outcomes are expected to lead to the development of new targeted therapy and new therapeutic medicine for various diseases that help the broad community.

I obtained my B.S. in Computational Mathematics with the Academic Award for Excellent Students and the Xu Chongqing Award for academic excellence from Sun Yat-sen University (2009-2013). I received my Ph.D. in Mathematics with University Postgraduate Fellowships (UPF) and Postgraduate Scholarship (PGS) from The University of Hong Kong under the supervision of Dr. Wai-Ki Ching (2013-2017).