---
# Display name
title: 吳健雄

# Name pronunciation (optional)
name_pronunciation: Chien Shiung Wu

# Full name (for SEO)
first_name: Shiung Wu
last_name: Chien

# Status emoji
status:
  icon: ☕️

# Is this the primary user of the site?
superuser: true

# Highlight the author in author lists? (true/false)
highlight_name: true

# Role/position/tagline
role: Chief Scientist

# Organizations/Affiliations to display in Biography blox
organizations:
  - name: OpenAI
    url: https://openai.com/

# Social network links
# Need to use another icon? Simply download the SVG icon to your `assets/media/icons/` folder.
profiles:
  - icon: at-symbol
    url: 'mailto:your-email@example.com'
    label: E-mail Me
  - icon: brands/x
    url: https://twitter.com/GetResearchDev
  - icon: brands/instagram
    url: https://www.instagram.com/
  - icon: brands/github
    url: https://github.com/gcushen
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    url: https://www.linkedin.com/
  - icon: academicons/google-scholar
    url: https://scholar.google.com/
  - icon: academicons/orcid
    url: https://orcid.org/

interests:
  - Artificial Intelligence
  - Computational Linguistics
  - Information Retrieval

education:
  - area: PhD Artificial Intelligence
    institution: Stanford University
    date_start: 2016-01-01
    date_end: 2020-12-31
    summary: |
      Thesis on _Why LLMs are awesome_. Supervised by [Prof Joe Smith](https://example.com). Presented papers at 5 IEEE conferences with the contributions being published in 2 Springer journals.
    button:
      text: 'Read Thesis'
      url: 'https://example.com'
  - area: MEng Artificial Intelligence
    institution: Massachusetts Institute of Technology
    date_start: 2016-01-01
    date_end: 2020-12-31
    summary: |
      GPA: 3.8/4.0

      Courses included:
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
  - area: BSc Artificial Intelligence
    institution: Massachusetts Institute of Technology
    date_start: 2016-01-01
    date_end: 2020-12-31
    summary: |
      GPA: 3.4/4.0
      
      Courses included:
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
work:
  - position: Director of Cloud Infrastructure
    company_name: GenCoin
    company_url: ''
    company_logo: ''
    date_start: 2021-01-01
    date_end: ''
    summary: |2-
      Responsibilities include:
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
  - position: Backend Software Engineer
    company_name: X
    company_url: ''
    company_logo: ''
    date_start: 2016-01-01
    date_end: 2020-12-31
    summary: |
      Responsibilities include:
      - Migrated infrastructure to a new data center
      - lorem ipsum dolor sit amet, consectetur adipiscing elit
      - lorem ipsum dolor sit amet, consectetur adipiscing elit

# Skills
# Add your own SVG icons to `assets/media/icons/`
skills:
  - name: Technical Skills
    items:
      - name: Python
        description: ''
        percent: 80
        icon: code-bracket
      - name: Data Science
        description: ''
        percent: 100
        icon: chart-bar
      - name: SQL
        description: ''
        percent: 40
        icon: circle-stack
  - name: Hobbies
    color: '#eeac02'
    color_border: '#f0bf23'
    items:
      - name: Hiking
        description: ''
        percent: 60
        icon: person-simple-walk
      - name: Cats
        description: ''
        percent: 100
        icon: cat
      - name: Photography
        description: ''
        percent: 80
        icon: camera

languages:
  - name: English
    percent: 100
  - name: Chinese
    percent: 75
  - name: Portuguese
    percent: 25

# Awards.
#   Add/remove as many awards below as you like.
#   Only `title`, `awarder`, and `date` are required.
#   Begin multi-line `summary` with YAML's `|` or `|2-` multi-line prefix and indent 2 spaces below.
awards:
  - title: Neural Networks and Deep Learning
    url: https://www.coursera.org/learn/neural-networks-deep-learning
    date: '2023-11-25'
    awarder: Coursera
    icon: coursera
    summary: |
      I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
  - title: Blockchain Fundamentals
    url: https://www.edx.org/professional-certificate/uc-berkeleyx-blockchain-fundamentals
    date: '2023-07-01'
    awarder: edX
    icon: edx
    summary: |
      Learned:
      - Synthesize your own blockchain solutions
      - Gain an in-depth understanding of the specific mechanics of Bitcoin
      - Understand Bitcoin’s real-life applications and learn how to attack and destroy Bitcoin, Ethereum, smart contracts and Dapps, and alternatives to Bitcoin’s Proof-of-Work consensus algorithm
  - title: 'Object-Oriented Programming in R'
    url: https://www.datacamp.com/courses/object-oriented-programming-with-s3-and-r6-in-r
    certificate_url: https://www.datacamp.com
    date: '2023-01-21'
    awarder: datacamp
    icon: datacamp
    summary: |
      Object-oriented programming (OOP) lets you specify relationships between functions and the objects that they can act on, helping you manage complexity in your code. This is an intermediate level course, providing an introduction to OOP, using the S3 and R6 systems. S3 is a great day-to-day R programming tool that simplifies some of the functions that you write. R6 is especially useful for industry-specific analyses, working with web APIs, and building GUIs.
---

## About Me

Chien Shiung Wu is a professor of artificial intelligence at the Stanford AI Lab. Her research interests include distributed robotics, mobile computing and programmable matter. She leads the Robotic Neurobiology group, which develops self-reconfiguring robots, systems of self-organizing robots, and mobile sensor networks.
