Minghong Li | Notion

Address: Xueyuan Road, Beijing, China

Github: LMH0066

<aside> <img src="/icons/bookmark_gray.svg" alt="/icons/bookmark_gray.svg" width="40px" /> My main research area is 3D genomics and gene regulation network. The central theme of my current research is to use deep learning approaches to observe the dynamics of chromatin conformation during cell development, and to characterize chromatin conformation and gene expression diversity.

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Education

B.S. (ComputerScience) University of Science and Technology Beijing, China, 2017. M.S. (ComputerScience) University of Science and Technology Beijing, China, 2021.

Selected Publications

2023

Gong H*, Li M*, Ji M, et al. MINE is a method for detecting spatial density of regulatory chromatin interactions based on a multi-modal network. Cell Reports Methods. 2023;3(1):100386-100386. doi:https://doi.org/10.1016/j.crmeth.2022.100386. Note: * Co-first author.
Gong H*, Li M*, Ji M, et al. Calculating the spatial density of regulatory chromatin interactions using multi-modal datasets from the same cell line. STAR Protocols. 2023;4(2):102188-102188. doi:https://doi.org/10.1016/j.xpro.2023.102188. Note: * Co-first author.

2021

张晓彤，李铭鸿，龚海燕，何杰，万亚东，张雷，姜雪，CN202111567359.3，一种数据对象多维度材料标签自动生成系统，2021-12-20。学生一作。

Experience

Backend intern at ByteDance (2020.09 - 2021.02)

Participate in two content safety-related projects.

SQL performance optimization, improve the efficiency of querying millions of data by 30%.

TB-level big data processing.