CV

A structured web CV with a downloadable PDF version.

Contact Information

Name Jiaxi Liu
Professional Title Undergraduate Student in Bioinformatics
Email jiaxi_liu@stu.pku.edu.cn

Professional Summary

Undergraduate student in Bioinformatics at the School of Life Sciences, Peking University, working on bioinformatics, biomedical AI, protein language models, and efficient inference systems for large models.

Experience

  • 2026 - present

    Beijing, China

    Research Assistant
    Yang Lab, School of Computer Science, Peking University
    Edge-side inference system development for complex-valued large models.
    • Participated in front-end and back-end development for llama.cpp and ggml-based complex-valued model inference.
    • Worked on x86 IFAIRY64 vecdot core operator optimization, graph-level routing, baseline development, correctness validation, and performance analysis.
  • 2025 - present

    Beijing, China

    Research Assistant
    Yang Lab, School of Computer Science, Peking University
    Protein large language model development.
    • Participated in protein design and function-description models.
    • Worked on post-training, continued pretraining, and supervised fine-tuning for protein LLMs.
  • 2025 - present

    Beijing, China

    Research Assistant
    Liu Yungang Lab, School of Life Sciences, Peking University
    Genetic effect localization and clinical-feature analysis across the assisted reproduction cycle.
    • Integrated multi-source dynamic datasets from assisted reproduction.
    • Worked on WES mutation extraction and IVF detection data integration for embryo selection and ART clinical decision support.
  • 2024 - 2025

    Beijing, China

    Research Assistant
    Liu Xiaoyun Group, School of Life Sciences, Peking University
    GEPIA3 cancer gene expression and interaction analysis platform update.
    • Worked on cancer-related gene expression, interaction, and survival analysis modules.
    • Supported regression diagnosis modules based on STRING and OncoPPI protein interaction data.

Education

  • 2024 - present

    Beijing, China

    B.Sc.
    Peking University
    Bioinformatics
    • School of Life Sciences, 2024 Bioinformatics cohort.
    • Class monitor of the 2024 Bioinformatics cohort.
    • Comprehensive ranking 1/127 in the school/year cohort.
    • Relevant coursework includes biochemistry, molecular biology, bioinformatics, genetics, physiology, introductory computing, and general physics.

Awards

  • 2025
    Second Prize, Peking University 34th Challenge Cup
    Peking University

    Project on genetic effect localization across the assisted reproduction cycle.

  • 2026
    Comprehensive Ranking 1/127
    School of Life Sciences, Peking University

    Ranked first in the school/year cohort according to the latest CV.

Publications

  • 2025
    GEPIA3: Gene Expression and Interaction Analysis Platform Update
    Nucleic Acids Research

    Cancer gene expression and interaction analysis platform update. Placeholder details can be replaced once the formal citation is finalized.

Skills

Research Areas: Bioinformatics, Biomedical AI, Protein Language Models, Large Model Inference, Genomics