diff --git a/Jan Ringling Website.Rproj b/Jan Ringling Website.Rproj new file mode 100644 index 0000000..8e3c2eb --- /dev/null +++ b/Jan Ringling Website.Rproj @@ -0,0 +1,13 @@ +Version: 1.0 + +RestoreWorkspace: Default +SaveWorkspace: Default +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: pdfLaTeX diff --git a/config/_default/hugo.yaml b/config/_default/hugo.yaml index 836e88d..c5a8329 100644 --- a/config/_default/hugo.yaml +++ b/config/_default/hugo.yaml @@ -6,7 +6,7 @@ # Website name title: Hugo Academic CV Theme # Website URL -baseURL: 'https://example.com/' +baseURL: 'https://janringling.com/' ############################ ## LANGUAGE diff --git a/content/authors/admin/_index.md b/content/authors/admin/_index.md index 16ed111..87cf349 100644 --- a/content/authors/admin/_index.md +++ b/content/authors/admin/_index.md @@ -1,17 +1,17 @@ --- # 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 @@ -20,167 +20,111 @@ superuser: true 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. \ No newline at end of file diff --git a/content/authors/admin/avatar.jpg b/content/authors/admin/avatar.jpg index 49337e4..c450c1b 100644 Binary files a/content/authors/admin/avatar.jpg and b/content/authors/admin/avatar.jpg differ