2024年6月博士毕业于南开大学数学科学学院，并入选2024年度博士后创新人才支持计划，合作导师为杨建益教授。

    主要研究兴趣为利用数学与计算方法预测生物大分子结构，在包括Nature Communications、Nature Computational Science等Nature子刊在内的SCI权威期刊发表9篇论文，其中第一作者（含共同）5篇（详见Google Scholar）。曾获得国家奖学金、"南开十杰"荣誉称号（全校共10名）、南开大学优秀毕业生等多项奖学金和荣誉。

• 2020/09/01-2024/06/18
  南开大学
  生物信息学
  With Certificate of Graduation for Doctorate Study
• 2018/09/01-2020/06/30
  南开大学
  概率论与数理统计
  With Certificate of Graduation for Study as Master's Candidates
• 2014/09/01-2018/06/30
  山东大学
  数学类（金融数学与金融工程）

• 2024-07 — Now
  数学与交叉科学研究中心山东大学
  博士后

1. 结构生物信息学

(1)Wenkai Wang. trRosettaRNA: automated prediction of RNA 3D structure with transformer network .Nature Communications .2023

(2)Wenkai Wang. Single-sequence protein structure prediction using supervised transformer protein language models .Nature Computational Science .2022

(3)Hong Su#,Wenkai Wang#(Co-first author). Improved protein structure prediction using a new multi-scale network and homologous templates .Advanced Science .2021

(4)Zhenling Peng#,Wenkai Wang#(Co-first author). Protein structure prediction in the deep learning era .Current Opinion in Structural Biology .2022

(5)Zhenling Peng#,Wenkai Wang#(Co-first author),Hong Wei#. Improved protein structure prediction with trRosettaX2, AlphaFold2, and optimized MSAs in CASP15 .Proteins: Structure, Function, and Bioinformatics .2023

(6) The trRosetta server for fast and accurate protein structure prediction .Nature Protocols .2021

(7) Q-BioLiP: a comprehensive resource for quaternary structure-based protein-ligand interactions .Genomics, Proteomics & Bioinformatics .2024

(8) RNA-Puzzles Round V: blind predictions of 23 RNA structures .Nature Methods .2024

(9) RNA inter-nucleotide 3D closeness prediction by deep residual neural networks .Bioinformatics .2021