Hi, I’m Hui Wang (王辉), currently a Researcher at the Beijing Academy of Artificial Intelligence (BAAI), specializing in AI for Biology. I hold a Master’s degree from the School of Software at Northeastern University and previously interned at Westlake University and BAAI. My research focuses on developing next-generation scientific agents at the intersection of life sciences and large language models.
My ultimate goal is to transform biology from a trial-and-error science into a predictable and designable engineering discipline. If this vision resonates with you, let’s connect and explore potential collaborations!
🔥 News
- 2026.10: Our work “RiboGRAM learns multi-scale non-coding RNA grammar for structural and regulatory inference”, which I co-led as its first author, has been published as a preprint on bioRxiv. By learning the multi-scale grammar of non-coding RNAs, RiboGRAM offers a powerful new way to understand the vast and largely unexplored non-coding transcriptome that shapes human biology.
- 2026.7: Our key collaborative work “AREX: Towards a Recursively Self-Improving Agent for Deep Research” is now available on arXiv.
- 2026.7: Our collaborative paper “STELLA: A multimodal LLM for protein functional annotation via unified sequence-structure encoding” was published in Findings of ACL 2026.
- 2025.10: My first-author paper “RNA-Scope: Benchmarking RNA Language Models for RNA Sequence Understanding” was accepted to the NeurIPS 2025 AI for Science Workshop.
- 2025.6: UltraSelex was selected as the cover feature in the current issue of Nature Chemical Biology, and you can find additional perspectives in the news & views.
- 2025.4: Our collaborative paper “ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties” was published in Nature Communications.
- 2025.3: Our collaborative paper “Single-step discovery of high-affinity RNA ligands by UltraSelex” has been accepted by Nature Chemical Biology (IF: 13.7).
- 2024.7: My co-first-author paper “Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework” was published in Briefings in Bioinformatics.
Publications (First Author & Co-first Author)
* denotes equal contribution
Decoding the RNA interactome by UltraGen
Hui Wang, Zhaoming Chen, Wenjun Lin, Yuan Jiang, Jingye Zhang, Wenhao Huang, Yonggui Fu, Hongwang Xiao, David Kuster, Andres Jäschke, Qiwei Ye, Yaqing Zhang
UnderReivew
Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework
Guoqing Zhang, Hui Wang*, Zhiguo Zhang, Lu Zhang, Guibing Guo, Jian Yang, Fajie Yuan, Feng Ju
Briefs in Bioinformatics 2024
OPI: An Open Instruction Dataset for Adapting Large Language Models to Protein-Related Tasks
Hongwang Xiao*, Wenjun Lin*, Hui Wang*, Zheng Liu, Qiwei Ye
NeurIPs 2024 Workshop: Foundation Models for Science: Progress, Opportunities, and Challenges
Publications (Co-Author)
Single-step discovery of high-affinity RNA ligands by UltraSelex
Yaqing Zhang, Yuan Jiang, David Kuster, Qiwei Ye, Wenhao Huang, Simon Fürbacher, Jingye Zhang, Pia Doll, Wenjun Lin, Siwei Dong, Hui Wang, Zhipeng Tang, David Ibberson, Klemens Wild, Irmgard Sinning, Anthony A. Hyman & Andres Jäschke
Nature Chemical Biology 2025
ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties
Hui Qian, Yuxuan Wang, Xibin Zhou, Tao Gu, Hui Wang, Hao Lyu, Zhikai Li, Xiuxu Li, Huan Zhou, Chengchen Guo, Fajie Yuan & Yajie Wang
Nature Communications 2025
Exploring evolution-aware &-free protein language models as protein function predictors
Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
NeurIPS 2022
Highlights
UltraSelex, a rapid single-round method for high-affinity aptamer discovery, is featured on the cover of Nature Chemical Biology. Unlike conventional SELEX requiring 10–15 cycles, UltraSelex uses successive elution steps to capture aptamers by affinity in just one round.
Honors and Awards
- Graduate: Outstanding Graduate Student at Northeastern University; First-class Scholarship at Northeastern University.
- Undergraduate: Provincial-level Outstanding Graduate in 2020 (Top 3%); National Inspirational Scholarship; University-level Outstanding Student Leader and “Triple-A” Student.
Educations & Internships
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2023.07 - Present, Researcher at Beijing Academy of Artificial Intelligence (BAAI), specializing in AI for Biology.
- 2022.07 - 2023.07, Algorithm Intern at Beijing Academy of Artificial Intelligence (BAAI), supervised by Wenhao Huang, specializing in AI4RNA.
- 2021.02 - 2022.07, Visiting researcher at Westlake University, School of Engineering, supervised by Fajie Yuan, specializing in AI4Protein.
- 2020.09 - 2023.06, Master’s student at Northeastern University, supervised by Guibing Guo, specializing in Natural Language Processing.