Jinyuan Sun
- Email: jinyuansun98@gmail.com
Profile
Starting with my first research project of genome annotation of fungi, I explored some fields in bioinformatics, protein design, and deep learning.
Links
Internships
May 2024 – Present
Software design engineer at ByteDance, Beijing
Jan. 2022 – Nov. 2022
Software design engineer at ByteDance, Beijing
- Working with people with a machine learning background to explore possibilities of applying ML methods for protein modeling.
- Reproduced training of some published machine learning models, including AlphaFold.
Jul. 2021 – Oct. 2021
Protein design engineer at Zelixon, Shenzhen
- Working with people with a structure prediction and protein design background in this startup, including co-inventors of RaptorX and ABACUS.
- Benchmark internally developed software for structure prediction and enzyme design. Developed a computational pipeline for enzyme discovery with structural information guidance.
Education
Aug. 2023 - Present
Institute of Microbiology, CAS, Ph.D.
Aug. 2020 – Jun. 2023
Institute of Microbiology, CAS, Master in Engineering
- GAP 3.82/4.00 (ranking unavailable).
- Best poster award (top 10%) in 2021 annual key state laboratory seminar.
Aug. 2016 – Jun. 2020
Nanjing University of Technology, Bachelor in Engineering
- GPA 3.48/4.00 (ranked 14/79 in the department ). Six-time advanced half-year scholarship (top 10%).
- One time Annual Person Award for Creativity (10/30000).
Selected Publications
- Jinyuan Sun†, Yan Xia†, and Dengming Ming*. “Whole-genome sequencing and bioinformatics analysis of apiotrichum mycotoxinivorans: predicting putative zearalenone-degradation enzymes.” Frontiers in Microbiology (2020): 1866.
Protein Design
- Jinyuan Sun, Yinglu Cui, and Bian Wu*. “GRAPE, a greedy accumulated strategy for computational protein engineering.” In Methods in Enzymology, vol. 648, pp. 207-230. Academic Press, 2021.
Deep Learning
- Jinyuan Sun, Tong Zhu, Yinglu Cui, and Bian Wu*. “Structure-based self-supervised learning enables ultrafast protein stability prediction upon mutation”. The Innovation (2025), 1, 6.