CV
A summary of my background. The PDF is the authoritative version.
Education & academic positions
- Mar 2026 – present Postdoctoral Researcher Halıcıoğlu Data Science Institute, UC San Diego
- Oct 2020 – Feb 2026 Ph.D. in Particle Physics University of California, San Diego
- Aug 2016 – Jun 2020 B.S. in Physics Kuang Yaming Honors School, Nanjing University
Selected roles
Projects →- Jul 2026 – present Founder and lead, SciTra Trajectory and action-space representation for scientific agents — 50+ scientists across 20+ institutions
- Jul 2026 – present Core team, FrontierPhysics Frontier physics research benchmark, with BenchFlow
- Oct 2020 – present Statistical inference, XENONnT Collaboration Solar pp neutrino measurement
- Jan 2024 – present Maintainer, strax and straxen Open-source data frameworks for 200+ collaborators
Technical skills
- Programming & ML Python, PyTorch, NumPy, Pandas, SciPy, scikit-learn, C/C++, Bash, Linux, Git
- Agents & evaluation LLM agent systems, multi-agent orchestration, agent evaluation, benchmark design, action-space and trajectory instrumentation, autonomous experimental loops
- Systems Pydantic, FastAPI, pytest, GitHub Actions, SLURM/HPC, ETL pipelines, resource monitoring and performance optimisation
Service
Talks →- Mar 2026 Session chair, APS Global Physics Summit 2026 Machine Learning Methods at the Intersection of Nuclear and Neutrino Physics (APR-R87)