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Chris-Larkin committed Jul 28, 2024
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2 changes: 1 addition & 1 deletion config/_default/hugo.yaml
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# This file is formatted using YAML syntax - learn more at https://learnxinyminutes.com/docs/yaml/

# Website name
title: Hugo Academic CV Theme
title: Chris Larkin
# Website URL
baseURL: 'https://example.com/'

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125 changes: 59 additions & 66 deletions content/authors/admin/_index.md
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---
# Display name
title: 吳健雄
title: Chris Larkin

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

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

# 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 Candidate, Economics

# Organizations/Affiliations to display in Biography blox
organizations:
- name: OpenAI
url: https://openai.com/
- name: Bikrbeck College, University of London
url:

# 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:christopher.e.larkin@gmail.com'
label: E-mail Me
- icon: brands/x
url: https://twitter.com/GetResearchDev
- icon: brands/instagram
url: https://www.instagram.com/
url: https://twitter.com/chris_e_larkin
- icon: brands/github
url: https://github.com/gcushen
url: https://github.com/Chris-Larkin
- icon: brands/linkedin
url: https://www.linkedin.com/
url: https://www.linkedin.com/chris-e-larkin
- icon: academicons/google-scholar
url: https://scholar.google.com/
url: https://scholar.google.com/citations?hl=en&user=_PJFo20AAAAJ&view_op=list_works&sortby=pubdate
- icon: academicons/orcid
url: https://orcid.org/
url: https://orcid.org/0000-0003-3780-6721

interests:
- Artificial Intelligence
- Computational Linguistics
- Information Retrieval
- Behavioural economics
- Public policy
- Causal inference
- Voter turnout

education:
- area: PhD Artificial Intelligence
institution: Stanford University
date_start: 2016-01-01
date_end: 2020-12-31
- area: PhD Economics
institution: Birkbeck College, University of London
date_start: 2020-03-01
date_end: 2025-03-31
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.
Thesis on _Exploring the behavioural and pyschological underpinnings of voting_. Supervised by [Prof David Schroeder](https://example.com). Completed part-time while working full-time with papers being published in 2 leading 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
- area: MSc Political Science and Political Economy
institution: London School of Economics and Political Science
date_start: 2013-09-01
date_end: 2014-10-01
summary: |
GPA: 3.8/4.0
Courses included:
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- area: BSc Artificial Intelligence
institution: Massachusetts Institute of Technology
date_start: 2016-01-01
date_end: 2020-12-31
- Game theory
- Causal inference with experimental and observational data
- Regression modelling
- The politics of monetary policy
- area: BA International Studies
institution: Soka University of America
date_start: 2009-01-09
date_end: 2013-05-31
summary: |
GPA: 3.4/4.0
Courses included:
- lorem ipsum dolor sit amet, consectetur adipiscing elit
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work:
- position: Director of Cloud Infrastructure
company_name: GenCoin
company_url: ''
company_logo: ''
date_start: 2021-01-01
date_end: ''
- position: Staff Quantitative UX Researcher
company_name: Meta
company_url: 'https://meta.com'
company_logo: "facebook_logo.svg"
date_start: 2021-02-01
date_end: 2024-06-30
summary: |2-
Responsibilities include:
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- position: Backend Software Engineer
company_name: X
company_url: ''
- position: Senior Advisor
company_name: Behavioural Insights Team
company_url: 'https://www.bi.team'
company_logo: ''
date_start: 2016-01-01
date_end: 2020-12-31
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skills:
- name: Technical Skills
items:
- name: Python
- name: R
description: ''
percent: 80
icon: code-bracket
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icon: chart-bar
- name: SQL
description: ''
percent: 40
percent: 50
icon: circle-stack
- name: Hobbies
color: '#eeac02'
color_border: '#f0bf23'
items:
- name: Hiking
- name: Cycling
description: ''
percent: 60
icon: person-simple-walk
- name: Cats
- name: Running
description: ''
percent: 100
icon: cat
- name: Photography
- name: Mince pies
description: ''
percent: 80
icon: camera

languages:
- name: English
percent: 100
- name: Chinese
percent: 75
- name: Portuguese
percent: 25
- name: Spanish
percent: 65
- name: French
percent: 10

# 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
- title: Fellow of the Royal Society of the Arts
url: https://www.thersa.org/
date: '2011-03-01'
awarder: The RSA (Royal Society of Arts, Manufactures and Commerce)
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.
Expand All @@ -183,4 +176,4 @@ awards:

## 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.
Chris Larkin is a researcher with a focus on understanding the behavioural foundations of public policy. He worked for seven years as a consultant at the Behavioural Insights Team, as one of the first team members in both the London and New York offices, as well as a quantitative user researcher at Meta where he focussed on ad tech and user attitudes towards data sharing.
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