Summary

AI4Geoscience PhD student at UT-Austin Jackson School of Geosciences, specializing in explainable AI for physics-based land surface modeling. Former undergraduate at USTC with expertise in space physics and atmospheric sciences.

Education

• Ph.D. in Geological and Earth Sciences/Geosciences

  2029-05-31
  The University of Texas at Austin

  Courses: Model Optimization: Physics-based Land Surface Models (Noah-MP, CTSM, HRLDAS), Rock Climbing
• B.S. with Honors in Geological and Earth Sciences/Geosciences

  2024-07-31
  University of Science and Technology of China

  Courses: Founding President, USTC Student Xingyun Poetry Club (Currently 1,197+ members)

Work Experience

• Graduate Research Assistant

  2025-08-01 -
  Jackson School of Geosciences, The University of Texas at Austin

  AI for Noah-MP Land Surface Model: Implementing rock and wood moisture into the Noah-MP land surface model. Advised by Dr. Zong-Liang Yang, Dr. Daniella Rampe, Dr. Ashley Matheny.
• Project Admin

  2025-08-01 -
  NSF NCAR - The National Center for Atmospheric Research

  Project Admin for NCAR/CISL Allocation Project UTAA0012: 'Explainable AI for Improving Physics-Based Noah-MP Land Surface Modeling of Plant–Rock–Water Interactions.' Awarded 1,000 GPU hours on NSF NCAR Derecho-GPU, 20,000 CPU core-hours, and 2 TB campaign storage.
• AI Agent Evaluation Engineer Intern

  2025-07-01 - 2025-07-31
  PineAI

  Designed and implemented AI evaluation system architecture for AI Agent knowledge base assessment. Developed automated data anonymization algorithms processing 1000+ conversation texts with 70%+ accuracy.
• Full-Stack LLM Developer Intern

  2025-06-01 - 2025-07-31
  Beijing ZaiwenAI Technology Co., Ltd.

  Built comprehensive LLM text processing system integrating text polishing, AI detection, and plagiarism reduction features. Developed RESTful API backend using FastAPI with Celery+Redis, improving processing efficiency by 65%+.
• Graduate Teaching Assistant

  2024-08-01 - 2025-05-31
  The University of Texas at Austin

  Earth in 2100 (GEO 303E): Prepared course syllabus, office hours, and graded homework for ~1040 students.

Skills

Publications

• Diurnal and seasonal variations of meteor speed and arrival angle observed by Mengcheng meteor radar

  2024
  JGR: Space Physics

  Investigation of diurnal and seasonal variations of meteor speed and arrival angle using Mengcheng meteor radar observations, providing insights into meteoroid dynamics in the mesosphere and lower thermosphere.

  View Publication
• A Summary Report on the Space Physics Practical Education in 2022

  2024
  Review of Geophysics and Planetary Physics

  Comprehensive report on space physics practical education initiatives in 2022, documenting educational programs and outcomes in space science education.

  View Publication

Presentations

• Noah-MP land surface model with plant hydraulics scheme (Noah-MP-PHS) Evaluation

  2025
  JSG Research Symposium

  Austin, TX

  Poster presentation evaluating the Noah-MP land surface model with plant hydraulics scheme.
• Perturbations by the 2022 Hunga-Tonga Volcano Eruption in the MLT Region Investigated Using WACCM-X Simulation and Meteor Radar Observations

  2023
  4th NASA DRIVE CGS Workshop

  Boulder, CO

  Oral presentation on volcanic perturbations in the mesosphere and lower thermosphere.
• Perturbations by the 2022 Hunga-Tonga Volcano Eruption in the MLT Region Investigated Using the WACCM-X Simulation and Meteor Radar Observations

  2023
  AGU Fall Meeting 2023

  San Francisco, CA

  Poster presentation at AGU 2023 documenting global-scale atmospheric perturbations from volcanic eruption.

Teaching

• Earth in 2100 (GEO 303E)

  2024
  University of Texas at Austin, Jackson School of Geosciences

  Role: Graduate Teaching Assistant

  Prepared and led weekly office hours for 520+ students, graded assignments, and provided mentorship for an interdisciplinary course examining Earth system changes and climate projections.

Portfolio

• Explainable AI for Noah-MP Land Surface Modeling

  2025
  Research

  NCAR-funded project implementing AI to improve physics-based land surface models for plant-rock-water interactions. Awarded 1,000 GPU hours and significant computational resources.

  View Project
• AI Text Processing System

  2025
  Software

  Full-stack LLM text processing system with polishing, AI detection, and plagiarism reduction features. Built with FastAPI, Celery, Redis, achieving 65%+ efficiency improvement.

  View Project
• AI Agent Knowledge Base Evaluation System

  2025
  Software

  Multi-dimensional AI agent evaluation system with data anonymization and LLM-as-a-judge architecture. Achieved 70%+ accuracy in sensitive information identification.

  View Project

Languages

• English

  Fluent
• Chinese (Mandarin)

  Native speaker

Interests

• AI for Land Surface Modeling

  Explainable AI, Physics-based modeling, Noah-MP
• Plant-Rock-Water Interactions

  Hydrological modeling, Plant hydraulics
• Space Physics

  Meteor radar observations, Atmospheric dynamics
• Poetry and Leadership

  Poetry club founding, Cultural activities