Curriculum Vitae

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Education

Ph.D. in Hydrology and Water Resources
2005

Wuhan University

Hydrological models and flood disaster monitoring system based on RS and GIS

B.E. in Economics
2000

Wuhan University

Reflections on the western development experience in the United States and China

B.E. in Hydrology and Water Resources
2000

Wuhan University of Hydraulic and Electric Engineering

Graduated with Honors

Professional Experience

Professor, Associate Professor, Lecturer
2005 ~

Beijing Normal University

Leading research in machine learning and artificial intelligence

  • Supervising 5 PhD students and 3 postdoctoral researchers
  • Teaching advanced courses in machine learning and AI
  • Securing and managing multiple research grants
  • Publishing in top-tier conferences and journals

Assistant Professor
2019 - 2021

University of California, Berkeley

Established and led the AI Research Lab

  • Developed and taught undergraduate and graduate courses
  • Mentored 3 PhD students
  • Published 10+ papers in top conferences

Research Scientist
2018 - 2019

Google AI

Worked on natural language processing projects

  • Developed new algorithms for text understanding
  • Collaborated with product teams on AI applications
  • Published 5 papers and filed 3 patents

Skills

Programming Languages

Python C++ Java JavaScript

Machine Learning

Deep Learning Natural Language Processing Computer Vision Reinforcement Learning

Tools & Frameworks

TensorFlow PyTorch scikit-learn Git Docker

Awards & Honors

Best Paper Award
2022

International Conference on Machine Learning

For outstanding contribution to the field of machine learning

Early Career Research Award
2021-02-21

National Science Foundation

Recognizing exceptional promise in research

Teaching Excellence Award
2020

Stanford University

For outstanding contributions to teaching

Languages

English (Native)
Spanish (Professional)
Mandarin (Intermediate)

Teaching Experience

CS229: Machine Learning
2021 - Present

Stanford University

Instructor

Advanced graduate course covering machine learning algorithms and applications

Students: 120 students per semester

Evaluation: 4.8/5.0

CS106A: Programming Fundamentals
2020 - 2021

Stanford University

Teaching Assistant

Introductory programming course in Python

Students: 300 students

Evaluation: 4.6/5.0

AI Ethics and Society
2022 - Present

Stanford University

Co-Instructor

Interdisciplinary course exploring ethical implications of AI

Students: 80 students per semester

Evaluation: 4.9/5.0