Scholar
Shiyu Jiang
Google Scholar ID: TchSd_cAAAAJ
PhD Student, University of Southern California
Citations & Impact
Citations
142
H-index
7
i10-index
5
Publications
17
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- 2025.10: “Engineering Unnatural Cells with a 21st Amino Acid as a Living Epigenetic Sensor” is on Nature Communications
- 2025.09: “Small Molecule Approach to RNA Targeting Binder Discovery (SMARTBind) Using Deep Learning Without Structural Input” is released on bioRxiv
- 2025.09: “Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics” is accepted by NeurIPS 2025
- 2025.09: “Biosynthesis of Unnatural Cyclodipeptides through Genetic Code Expansion and Cyclodipeptide Synthase Evolution” is on Journal of the American Chemical Society
- 2025.08: “Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences” (follow-up work from the GenBio workshop) is released on arXiv
- 2025.08: “SaprotHub: Democratizing Protein Language Model Training, Sharing and Collaboration for the Biology Community” is accepted by Nature Biotechnology
- 2025.07: “A tri-modal protein language model enables advanced protein searches” is accepted by Nature Biotechnology
- 2025.07: “Predicting function of evolutionarily implausible DNA sequences” is presented at Q-BIO 2025 Conference: Emergent Orders in Living Systems Across Scales, see our poster
- 2025.06: “Sequence Display-Enabled Machine Learning for Protein Evolution” is presented at 2025 Synthetic Biology: Engineering, Evolution, & Design, see our poster
- 2025.06: “Predicting function of evolutionarily implausible DNA sequences” is accepted by ICML 2025 Generative AI and Biology Workshop
- 2025.04: I will be joining the PhD program in Computational Biology and Bioinformatics at USC QCB, looking forward to the journey
- 2025.01: “Toward a privacy-preserving predictive foundation model of single-cell transcriptomics with federated learning and tabular modeling” is released on bioRxiv, see our post
- 2024.09: one paper on accurate nanoplastics classification has been accepted by ACS Nano (paper link), featured in the cover
- 2023.07: one paper on developing a multi-agent simulation model for pandemic spread is accepted by ALIFE 2023 (paper link)
- 2022.08: one paper on developing a protein recognition webserver is accepted by Bioinformatics (paper link)
Background
- PhD student focusing on computational biology, with research interests at the intersection of AI and biology, designing computational approaches to accelerate discoveries in synthetic biology, drug discovery, and molecular interaction.
