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Website not yet fully polished, barebones
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JanRingling committed Oct 13, 2024
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13 changes: 13 additions & 0 deletions Jan Ringling Website.Rproj
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Version: 1.0

RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default

EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8

RnwWeave: Sweave
LaTeX: pdfLaTeX
2 changes: 1 addition & 1 deletion config/_default/hugo.yaml
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# Website name
title: Hugo Academic CV Theme
# Website URL
baseURL: 'https://example.com/'
baseURL: 'https://janringling.com/'

############################
## LANGUAGE
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182 changes: 63 additions & 119 deletions content/authors/admin/_index.md
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---
# Display name
title: 吳健雄
title: Jan Ringling

# Name pronunciation (optional)
name_pronunciation: Chien Shiung Wu
name_pronunciation: ''

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

# Status emoji
status:
icon: ☕️
icon: ''

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

# Role/position/tagline
role: Chief Scientist
role: PhD Student in Economics

# Organizations/Affiliations to display in Biography blox
organizations:
- name: OpenAI
url: https://openai.com/
- name: University of Zurich
url: https://www.econ.uzh.ch/en.html

# 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'
url: 'mailto:jan.ringling@econ.uzh.ch'
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
- icon: brands/linkedin
url: https://www.linkedin.com/
- icon: academicons/google-scholar
url: https://scholar.google.com/
- icon: academicons/orcid
url: https://orcid.org/
url: https://twitter.com/JanRingling

interests:
- Artificial Intelligence
- Computational Linguistics
- Information Retrieval
- Labour Economics
- Econometrics
- Machine Learning

education:
- area: PhD Artificial Intelligence
- area: PhD Economics
institution: Stanford University
date_start: 2016-01-01
date_end: 2020-12-31
date_start: 2022-08-14
date_end: 2028-08-14
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
Thesis on Labour Economics, using innovative techniques in Causal Inference and Machine Learning.
- area: MPhil Economics
institution: University of Oxford
date_start: 2020-09-15
date_end: 2022-06-30
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
Awarded Distinction.
- area: BA Philosophy, Politics and Economics
institution: University of Oxford
date_start: 2017-10-01
date_end: 2020-06-30
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
First Class degree.
# Skills
# Add your own SVG icons to `assets/media/icons/`
skills:
- name: Technical Skills
items:
- name: Python
description: ''
- name: R
description: Base R, tidyverse incl. dplyr & ggplot2, Machine Learning with R, data.table
percent: 80
icon: code-bracket
- name: Data Science
description: ''
percent: 100
- name: Stata
description: Econometrics, coding, gtools, ftools, reghdfe
percent: 95
icon: chart-bar
- name: SQL
description: ''
percent: 40
- name: Python
description: numpy, matplotlib, pandas, scikit-learn
percent: 70
icon: circle-stack
- name: Hobbies
color: '#eeac02'
color_border: '#f0bf23'
items:
- name: Hiking
- name: Dancesport (Ballroom & Latin)
description: ''
percent: 60
percent: 95
icon: person-simple-walk
- name: Cats
description: ''
percent: 100
icon: cat
- name: Photography
- name: Tennis
description: ''
percent: 80
icon: camera
icon: dog

languages:
- name: German
percent: 100
- name: English
percent: 100
- name: Chinese
percent: 75
- name: Portuguese
percent: 25
- name: French
percent: 65
- name: Spanish
percent: 35

# 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
- title: URPP Equality of Opportunity Scholarship
date: '2023-'
awarder: University of Zurich
- title: Proxime Accessit - George Webb Medley Prize for excellent performance in second-year MPhil exams
date: '2022'
awarder: University of Oxford
- title: Scholarship from Konrad-Adenauer-Stiftung
date: '2017-2022'
awarder: Konrad-Adenauer-Stiftung
- title: Academic scholarship
date: '2018-2020'
awarder: Hertford College, University of Oxford
- title: Calvin Cheng Prize
date: '2019, 2020'
awarder: Hertford College, University of Oxford
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.
Awarded for excellent performance in second-year economics, second-year politics, and third-year economics.
---

## 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.
I am a PhD student in Economics at the University of Zurich. My primary research interest is Labour Economics, and I am particularly interested in the intersection of Labour Economics, Econometrics, and Machine Learning.
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