Jiaxi Liu

I am an undergraduate student majoring in Bioinformatics at the School of Life Sciences, Peking University, Beijing, P.R. China. My interests lie at the interface of biotechnology and AI for Science.

I currently pursue research on large language models with Prof. Tong Yang in PKU-DS-LAB. I also work on B-cell immunity at BIOPIC in Prof. Yunlong Cao's lab. Previously, I contributed to cancer network genomics projects in Fenglin Liu's lab.

My broader goal is to build computational and experimental tools for measuring, modeling, and engineering biological systems. This includes reading biological variation from omics and cohort-level data; modeling biological function with language models and other AI-driven approaches; and engineering biological processes through genome editing, molecular delivery, and system-level optimization. I also maintain HanaBio Archive, a biology competition archive site.

News

Jun 2026	🎉 Won Second Prize in the 34th Peking University "Challenge Cup" May Fourth Youth Science Award Competition for a project on genetic effect localization across the assisted reproduction cycle.

Education

B.E. in Bioinformatics

School of Life Sciences, Peking University

2024 - 2028 (Expected)

Research Interests

Biotechnologies for reading and writing biology

Omics, sequencing, genome engineering, molecular delivery, and experimental platforms for measuring and perturbing biological systems.

Language models for biology and science

Protein language models, biological foundation models, scientific LLMs, and AI systems that connect sequence, structure, function, and experiment.

Biological applications: genomics and cellular systems

Applications in cancer genomics, immune and cellular systems, and multi-omics interpretation.

Efficient AI systems for scientific computing

Operator optimization, efficient inference, and deployable large-model systems for computational biology and AI for Science.

A full list of my publications is available on the Publications page, and my slides, reports, and project materials are collected in Academic Materials.

Achievements

Jun 2026	34th Peking University "Challenge Cup" May Fourth Youth Science Award Competition Second Prize; team leader
Dec 2025	Peking University Advanced Class Collective Award Class monitor; ranked 1st in the School of Life Sciences
Sep 2025	Li Yanhong Scholarship 25 recipients/year across Peking University; approx. top 0.14%
Sep 2025	Model Merit Student Top 2% in Peking University
Sep 2025	Comprehensive Evaluation Ranking Ranked 1/127 in School of Life Sciences
Jun 2025	33rd Peking University "Challenge Cup" May Fourth Youth Science Award Competition First Prize; independent research project; the only undergraduate awardee from the School of Life Sciences that year
Dec 2024	Freshman Third-Class Scholarship Top 1% in Peking University
Aug 2023	32nd Chinese National Biology Olympiad (CNBO) Gold Medal; National Training Team Member, ranked 30/555 nationally

Internships

Medin.ai

Algorithm Research Intern

May 2026 - Present

Developing world model for dynamic prediction of disease progression.

Intelligent Biosystem

Bioengineering Research Intern

Jul 2025 - Present

Worked on automating next-generation sequencing library preparation on digital microfluidic chips; as a teaching assistant, helped introduce sequencing-oriented digital microfluidic chip workflows into Bioinformatics Laboratory teaching.

Teaching

Bioinformatics Laboratory

Teaching Assistant; School of Life Sciences, Peking University

Mar 2026 - Jun 2026

Publications

GEPIA3: Enhanced drug sensitivity and interaction network analysis for cancer research

Yu-Jian Kang^*, Lingjie Pan^*, Yiyu Liu^*, Zhengqin Rong, Jiaxi Liu, and Fenglin Liu^†

Nucleic Acids Research, Jul 2025 2024 IF 13.1 JCR Q1

Link Abs PDF PubMed

GEPIA3 extends the GEPIA platform for pan-cancer analysis with drug sensitivity, interaction network, and RNA alteration modules. It integrates patient cohorts, cancer cell line screens, and multi-omics resources to support biomarker discovery and therapeutic target exploration.