Shicheng Guo — Personal Research Site & Pharma Intelligence Hub

The source for shicheng-guo.github.io — the personal and professional site of Shicheng Guo, Ph.D., Senior Director of Translational Genetics & Data Science at Arrowhead Pharmaceuticals.

It is two things at once:

1. An academic site — research themes, projects, publications, and a technical blog.
2. A living pharma-intelligence hub — a set of dashboards (AI in pharma, biobanks, BD deals, clinical-trial readouts, real-world evidence, and more) that refresh themselves every day via Python scrapers and GitHub Actions.

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✨ Highlights

• 🧬 Research & projects — translational genetics, biobank & RWE, computational biology, and agentic AI.
• 📝 Technical blog — bioinformatics, statistics, and data-science write-ups (_posts/).
• 🤖 Self-updating dashboards — seven daily pipelines fetch fresh data into JSON, committed automatically and rendered client-side.
• ⚡ Zero-build deployment — pushed to master, built and served by GitHub Pages.
• 📊 Lightweight, privacy-friendly analytics via GoatCounter.

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🗂️ Site Sections

Page	URL	Source	Content
Home	/	index.html	Landing page
About	/about/	about.md	Bio & background
Research	/research/	research.md + _portfolio/	Research themes & project cards
Publications	/publications/	publications.md + _publications/	Selected papers
Blog	/blog/	_posts/	Paginated technical posts
AI in Pharma	/ai/	ai.md ← assets/data/ai.json	🔄 Auto-updated
Biobank	/biobank/	biobank.md ← biobank.json	🔄 Auto-updated
BD Deals	/deals/	deals.md ← deals.json	🔄 Auto-updated
Pharma 5.0	/pharma/	pharma.md ← pharma.json	🔄 Auto-updated
Real-World Evidence	/rwe/	rwe.md ← rwe.json	🔄 Auto-updated
Clinical Trials	/trials/	trials.md ← trials.json	🔄 Auto-updated
Innovation	/innovation/	innovation.md ← startups.json	🔄 Auto-updated
Trending	/trending/	trending.md	Live from the GitHub API
Conferences / KOL / Consortium	/conference/, /kol/, …	*.md ← assets/data/*.json	Curated lists

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🤖 Automated Data Pipelines

The intelligence dashboards stay current without manual edits. Each pipeline follows the same pattern:

GitHub Actions (daily cron)  →  scripts/fetch_*.py  →  assets/data/*.json  →  page renders the JSON
                                       ↓
                          git commit "[skip ci]" & push

Workflow	Script	Output	Schedule
update-ai.yml	scripts/fetch_ai.py	ai.json	Daily 07:07 UTC
update-biobank.yml	scripts/fetch_biobank.py	biobank.json	Daily
update-deals.yml	scripts/fetch_deals.py	deals.json	Daily
update-pharma.yml	scripts/fetch_pharma.py	pharma.json	Daily
update-rwe.yml	scripts/fetch_rwe.py	rwe.json	Daily
update-startups.yml	scripts/fetch_startup_news.py	startup_news.json, startups.json	Daily
update-trials.yml	scripts/fetch_trials.py	trials.json	Daily

Each workflow can also be triggered manually from the Actions tab (workflow_dispatch). Commits are tagged [skip ci] to avoid retriggering the page build loop.

Run a scraper locally:

python3 scripts/fetch_ai.py   # writes assets/data/ai.json

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🏗️ Tech Stack

• Jekyll (~> 3.1) — static site generator
• Plugins — jekyll-sitemap, jekyll-paginate
• Rouge — syntax highlighting
• Python 3.12 — daily data scrapers
• GitHub Actions — scheduled automation
• GitHub Pages — hosting & build
• GoatCounter — analytics

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📁 Repository Structure

.
├── _config.yml          # Jekyll configuration
├── index.html           # Home page
├── about.md             # Bio
├── research.md          # Research themes (+ _portfolio cards)
├── publications.md      # Publications (+ _publications)
├── ai.md, biobank.md … # Dynamic dashboard pages (render assets/data/*.json)
├── _posts/              # Blog posts (YYYY-MM-DD-title.md)
├── _portfolio/          # Project cards shown on /research/
├── _publications/       # Publication entries
├── _layouts/            # default, page, post
├── _includes/           # Reusable partials & theme
├── assets/
│   ├── css/  js/  images/
│   └── data/            # JSON data, refreshed by scrapers
├── scripts/             # Python data-fetch scripts
└── .github/workflows/   # Daily update automations

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🚀 Local Development

Prerequisites: Ruby + Bundler, and Python 3.12 (only if running scrapers).

# 1. Install dependencies
bundle install

# 2. Serve locally with live reload
bundle exec jekyll serve

# 3. Open the site
open http://localhost:4000

The generated site lands in _site/ (do not edit by hand — it's build output).

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✍️ Adding Content

New blog post

Create _posts/YYYY-MM-DD-title.md with front matter:

---
layout: post
title: "Your Post Title"
author: Shicheng Guo
date: 2026-06-06
categories: tutorials
tags: tag-one tag-two
---

Your content in Markdown…

The URL follows the permalink rule /:categories/:year/:month/:day/:title → https://shicheng-guo.github.io/tutorials/2026/06/06/title.html.

New project card (Research page)

Add _portfolio/N-slug.md:

---
title: "Project Title"
excerpt: "One-line summary."
icon: "fa-solid fa-dna"
link: "https://github.com/Shicheng-Guo/…"
tags: "Tag one, Tag two, Tag three"
order: 5
---

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🌐 Deployment

Deployment is fully automatic: push to master → GitHub Pages rebuilds → live in ~1–2 minutes. No manual build step is required.

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📈 Analytics

Privacy-friendly analytics via GoatCounter (goatcounter_code: sguo in _config.yml). Dashboard: shichengguo.goatcounter.com.

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📫 Contact

Shicheng Guo, Ph.D. Senior Director, Translational Genetics & Data Science — Arrowhead Pharmaceuticals

• 🌐 shicheng-guo.github.io
• 🐙 github.com/Shicheng-Guo
• ✉️ Shihcheng.Guo@gmail.com

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📄 License

Code and templates are released under the MIT License — see LICENSE. Blog posts and written content © Shicheng Guo.