Curriculum Vitae

Experience & background

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01

Education

Ph.D. in Computer Science

2015 - 2019

Stanford University

Specialized in Machine Learning and Artificial Intelligence

M.S. in Computer Science

2013 - 2015

Massachusetts Institute of Technology

Focus on Natural Language Processing

B.S. in Computer Science

2009 - 2013

University of California, Berkeley

Graduated with Honors

02

Professional Experience

Associate Professor

2021 - Present

Stanford 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
03

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
04

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

05

Languages

English (Native)
Spanish (Professional)
Mandarin (Intermediate)
06

Teaching Experience

CS229: Machine Learning

2021 - Present

Stanford University โ€” 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 โ€” Teaching Assistant

Introductory programming course in Python

Students: 300 students Evaluation: 4.6/5.0

AI Ethics and Society

2022 - Present

Stanford University โ€” Co-Instructor

Interdisciplinary course exploring ethical implications of AI

Students: 80 students per semester Evaluation: 4.9/5.0