Liyanfang头像

Liyanfang

Lecturer

Research direction: High-dimensional Statistics, Bioinformatics

Education: Doctor

  • Department:
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10 Access

  • Email: liyanfang@buct.edu.cn
  • Office : Wenli Lou 110

Introduction

I am currently an assistant professor in the College of Mathematics and Physics at Beijing University of Chemenical Technology (BUCT). Before that, I was a postdoctoral fellow at the Academy of Mathematics and Systems Science (AMSS) of CAS, working with Professor Shihua Zhang.


I graduated from School of Mathematical Sciences at Peking University in June 2017 under the supervision of Professor Jinzhu JiaFrom August 2015 to August 2016, I studied in Statistics and Data Science at Carnegie Mellon University as a visiting student under the supervision of Professor Jing Lei


Education

Work Experience

Social Position

Social Activities

Research

  • High-dimensional Statistical Inference.

  • Bioinformatics & Biostatistics.

  • Bayesian Statistics.

  • Interdisciplinary application of math, statistics, and deep learning.

Teaching

Postgraduates

Funding

1. China Postdoctoral Science Foundation (No.72 General Fund):

基于空间转录组数据对齐整合的统计建模, 2022-2025, Principal investigator

2. National Natural Science Foundation of China (Special Fund for Emergency Programs):

预训练大模型赋能大规模跨物种细胞景观与进化调控构建, 2024-2026, Participate

3. National Natural Science Foundation of China (Tianyuan Fund for Mathematics):

颅内肿瘤多模态数据融合的可通用诊疗模型及系统, 2024-2025, Participate

4. National Natural Science Foundation of China (General Program):

复杂区域上的小波框架理论及应用, 2017-2020, Participate

5. National Natural Science Foundation of China (General Program):

文本挖掘的统计建模, 20162019, Participate

Vertical Project

Horizontal Project

Publications

1. Li, Y. and Zhang, S.# (2024) Statistical batch-aware embedded integration, dimension reduction and alignment for spatial transcriptomics. Bioinformatics, 40(10), btae611.

2. Li, Y. and Zhao, G.# (2024) Euler-Maruyama scheme for SDE driven by Lévy process with Hölder drift. Statistics & Probability Letters, 215, 110220.

3. Li, Y.# and Lei, J. (2018) Sparse subspace linear discriminant analysis. Statistics, 52(4), 782-800.

4. Li, Y. and Jia, J.# (2017) L1 least squares for sparse high-dimensional LDA. Electronic Journal of Statistics, 11(1), 2499-2518.


Awards

Patent

Honor Reward

Admissions Information