I am Jiawei Luo, PhD student at Oliver Stegle Lab. My research focuses on DNA language models and single-cell studies
My research interests focuses on developing AI/ML algorithms for Biology, including drug discovery, disease diagnosis, single-cell technologies and language model. I am particularly intrigued by the application of AI/ML techniques to address biological questions.
📖 Educations
- M.S. in Computer Technology, Harbin Institute of Technology, Shenzhen, 2021.09 - 2024.03
- B.S. in Software Engineering, Guangdong University of Foreign Studies, 2017.09 - 2021.06
🔥 News
- Nov 2024: 🎉🎉, IMFP-LG is published in Genomics, Proteomics & Bioinformatics.
- October 2023: 🎉🎉, BERT-DPPIV is accepted by ACS Omega.
📝 Publications
(*equal contribution, #corresponding)
Controllable Protein Design by Prefix-Tuning Protein Language Models
Jiawei Luo, Xianliang Liu, Jiahao Li, Qingcai Chen, Junjie Chen#
Keywords
- Controllable Protein Design;
- Prefix Tuning;
- Protein Language Model;
Discovery of novel multi-functional peptides by using protein language models and graph-based deep learning
Jiawei Luo*, Kejuan Zhao*, Junjie Chen*#, Caihua Yang, Fuchuan Qu, Ke Yan, Yang Zhang, Bin Liu.
Keywords
- Multi-functional Peptide Discovery;
- Protein Language Model;
- Graph Attention Network;
Exploration of DPP-IV Inhibitory Peptide Design Rules Assisted by the Deep Learning Pipeline That Identifies the Restriction Enzyme Cutting Site
Changge Guan*, Jiawei Luo*, Shucheng Li*, Zheng Lin Tan*, Yi Wang, Haihong Chen, Naoyuki Yamamoto, Chong Zhang, Yuan Lu, Junjie Chen, Xin-Hui Xing#.
Keywords
- Peptide Design;
- Protein Language Model;
🎖 Honors and Awards
- September 2023, First Prize Winner, CBC2022 Competition(Protein Pre-training)
- August 2022, First Prize Winner - CCAC 2022 AI-Debater Competition
- 2021, 2022, 2023, University First Prize Scholarship, Harbin Institute of Technology(Shenzhen)