Curriculum Vitae

Education

1. Aug 2025 – Present
   M.S. in Automated Science

   School of Computer Science, Carnegie Mellon University · Pittsburgh, PA

   • Core courses: Computational Biology, Biology Laboratory Automation, Deep Learning, Bioinformatics
2. Sep 2021 – Jul 2025
   B.Sc. in Biomedical Statistics

   School of Mathematics and Physics, Xi'an Jiaotong-Liverpool University · Suzhou, China

   • Core courses: Machine Learning, Statistics, Mathematical Modeling, Data Analysis, Python & R Programming

Research Experience

1. Oct 2025 – Present
   Graduate Researcher, AutoBioLab

   Carnegie Mellon University · Pittsburgh, PA

   Advisor: Prof. Min Xu and Prof. Rebecca E. Taylor

   • Multi-agent LLM system that plans, verifies and runs biology experiments on liquid handlers, with real-time monitoring and failure recovery.
2. Jul 2026 – Sep 2026
   Research Assistant, OSWorld-Science

   Northeastern University (remote)

   Advisor: Dr. Tianyu Liu (Alibaba US) and Prof. Wengong Jin

   • Built the chemistry task set (43 tasks, the benchmark's largest domain) with automatic RDKit graders, and evaluated frontier computer-use agents.
3. Oct 2025 – Jul 2026
   Research Assistant, CryoPASS

   Carnegie Mellon University · Pittsburgh, PA

   Advisor: Prof. Min Xu

   • Collapse-free unsupervised domain adaptation for 3D protein segmentation in cryo-ET, from simulated to real tomograms.
4. Feb 2023 – May 2023
   Undergraduate Researcher, DeepMerip

   Xi'an Jiaotong-Liverpool University · Suzhou, China

   Advisor: Prof. Zhen Wei

   • CNN-based multi-task framework for denoising low-depth MeRIP-seq data and calling m6A peaks.

Publications

6 papers, listed on the publications page.