Sizhe Liu
Hello! I’m a senior undergraduate at USC studying computer science. I am a student researcher at Liang’s Lab, advised by Prof. Liang Chen, and at FORTIS Lab, advised by Prof. Yue Zhao. I also work closely with Prof. Tianfan Fu and Prof. Tea Jashashvili.
Additionally, I’m a visiting student at Westlake University, working with Jun Xia under the supervision of Prof. Stan Z. Li.
My research focuses on developing machine learning methods for biomedical applications, with key areas including:
- ML models for biomedical discovery: Developing geometric and generative models for biological tasks such as de novo peptide sequencing, gene perturbation, drug-target interaction, etc.
- ML systems: Designing and building ML systems that make these discoveries efficient, reliable, and trustworthy.
- Automating scientific research: Using LLM agents to streamline and automate scientific research workflows.
news
Oct 15, 2024 | One paper accepted at AIDrugX@NeurIPS 2024 (Spotlight) |
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Sep 26, 2024 | Two papers have been accpeted by NeurIPS 2024 |
Sep 15, 2024 | We have a new paper published in Human Molecular Genetics |
selected publications
- HMGDeciphering single-cell gene expression variability and its role in drug responseHuman Molecular Genetics, Sep 2024
- NeurIPSFlexMol: A Flexible Toolkit for Benchmarking Molecular Relational LearningIn Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, Sep 2024
- BioinformaticsSP-DTI: Subpocket-Informed Transformer for Drug-Target Interaction PredictionUnder Review, Jun 2024
- ICLRBridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovoUnder Review, Oct 2024
- AABAMulti-Bone Micro-CT Scanning with a Leap Towards Reproducibility and Efficiency Using Automated ToolsIn American Association of Biological Anthropologists (AABA) Conference, Mar 2024
- NeurIPSNovoBench: Benchmarking Deep Learning-based \emphDe Novo Sequencing Methods in ProteomicsIn Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, Sep 2024