吳健雄 |
Chien Shiung Wu |
Shiung Wu |
Chien |
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true |
true |
Chief Scientist |
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mailto:your-email@example.com |
E-mail Me |
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brands/instagram |
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academicons/google-scholar |
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Artificial Intelligence |
Computational Linguistics |
Information Retrieval |
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area |
institution |
date_start |
date_end |
summary |
button |
PhD Artificial Intelligence |
Stanford University |
2016-01-01 |
2020-12-31 |
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.
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area |
institution |
date_start |
date_end |
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MEng Artificial Intelligence |
Massachusetts Institute of Technology |
2016-01-01 |
2020-12-31 |
GPA: 3.8/4.0
Courses included:
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area |
institution |
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BSc Artificial Intelligence |
Massachusetts Institute of Technology |
2016-01-01 |
2020-12-31 |
GPA: 3.4/4.0
Courses included:
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position |
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Director of Cloud Infrastructure |
GenCoin |
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2021-01-01 |
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Responsibilities include:
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position |
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company_url |
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Backend Software Engineer |
X |
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2016-01-01 |
2020-12-31 |
Responsibilities include:
- Migrated infrastructure to a new data center
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name |
items |
Technical Skills |
name |
description |
percent |
icon |
Python |
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80 |
code-bracket |
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name |
description |
percent |
icon |
Data Science |
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100 |
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name |
description |
percent |
icon |
SQL |
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40 |
circle-stack |
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name |
color |
color_border |
items |
Hobbies |
#eeac02 |
#f0bf23 |
name |
description |
percent |
icon |
Hiking |
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60 |
person-simple-walk |
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name |
description |
percent |
icon |
Cats |
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100 |
cat |
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name |
description |
percent |
icon |
Photography |
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80 |
camera |
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name |
percent |
Portuguese |
25 |
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title |
url |
date |
awarder |
icon |
summary |
Neural Networks and Deep Learning |
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2023-11-25 |
Coursera |
coursera |
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.
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title |
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Blockchain Fundamentals |
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2023-07-01 |
edX |
edx |
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
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title |
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Object-Oriented Programming in R |
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2023-01-21 |
datacamp |
datacamp |
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.
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