🎓 Defended Master's Degree

Tue, 02 Jun 2026 00:00:00 +0000

Lin defended his Master’s degree in Computer Science at the McGovern Institute for Brain Research, Beijing Normal University.

Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning

Thu, 23 Apr 2026 00:00:00 +0000

Zero-shot World Models Are Developmentally Efficient Learners, leading discussion

Thu, 23 Apr 2026 00:00:00 +0000

An Efficient Contrastive Deep Learning Model for Identifying Schizophrenia-Specific Neuroanatomical Variations

Tue, 07 Apr 2026 00:00:00 +0000

Investigating causal lag threads within whole-brain circuits

Sun, 01 Feb 2026 00:00:00 +0000

Life in Boston

Tue, 01 Jul 2025 13:00:00 +0000

Harvard

Sun, 15 Jun 2025 13:00:00 +0000

Mapping cell-type-specific transcriptomic entropy across the cortex

Sun, 01 Jun 2025 00:00:00 +0000

Mapping Cell-Type-Specific Transcriptomic Entropy Across the Cortex

Sun, 01 Jun 2025 00:00:00 +0000

Structural brain abnormalities in schizophrenia based on contrastive learning

Sun, 01 Jun 2025 00:00:00 +0000

Structural Brain Abnormalities in Schizophrenia Based on Contrastive Learning

Sun, 01 Jun 2025 00:00:00 +0000

The Neurodynamic Computational Model Reveals Abnormal Multistable Spatiotemporal Patterns and Mechanisms in Schizophrenia

Sat, 10 May 2025 00:00:00 +0000

Low-Dimensional Temporal Representations of Brain Functional Networks Using a Transformer-Based Autoencoder

Thu, 01 May 2025 00:00:00 +0000

Uni-BrainX: Unified brain imaging across sites by contrastive learning and transformer attention

Sun, 01 Dec 2024 00:00:00 +0000

An efficient contrastive deep learning model for identifying schizophrenia-specific neuroanatomical variations

Sat, 01 Jun 2024 00:00:00 +0000

Example Talk: Recent Work

Mon, 01 Jan 2024 00:00:00 +0000

Example Talk

Dr. Alex Johnson · Meta AI

Research Overview

Multimodal LLMs
Efficient training
Responsible AI

Code & Math

def score(x: int) -> int:
 return x * x

$$ E = mc^2 $$

Dual Column Layout

Left Column

Point A
Point B
Point C

Right Column

Detail 1
Detail 2
Detail 3

Main Content (2/3 width)

This column takes up twice the space of the right column.

def example():
 return "code works too"

Note
Key points in smaller column

Image + Text Layout

Results

95% accuracy
10x faster inference
Lower memory usage

Breakthrough!

Speaker Notes

Press S to open presenter view with notes!

This slide has hidden speaker notes below.

Note:

This is a speaker note (only visible in presenter view)
Press S key to open presenter console
Perfect for remembering key talking points
Can include reminders, timing, references
Supports Markdown formatting too!

Progressive Reveals

Content appears step-by-step:

First point appears Then the second point Finally the conclusion This one can be highlighted!

Note: Use fragments to control pacing and maintain audience attention. Each fragment appears on click.

Diagrams with Mermaid

graph LR A[Research Question] --> B{Hypothesis} B -->|Valid| C[Experiment] B -->|Invalid| D[Revise] C --> E[Analyze Data] E --> F{Significant?} F -->|Yes| G[Publish] F -->|No| D

Perfect for: Workflows, architectures, processes

Note: Mermaid diagrams are created from simple text. They’re version-controllable and edit anywhere!

Research Results

Model	Accuracy	Speed	Memory
Baseline	87.3%	1.0x	2GB
Ours (v1)	92.1%	1.5x	1.8GB
Ours (v2)	95.8%	2.3x	1.2GB

Key Finding: 8.5% improvement over baseline with 40% memory reduction

Note: Tables are perfect for comparative results. Markdown tables are simple and version-control friendly.

Custom Backgrounds

This slide has a blue background!

You can customize:

Background colors
Background images
Gradients
Videos (yes, really!)

Use {{< slide background-color="#hex" >}}

There’s more content below! ⬇️

Press the Down Arrow to see substeps.

Note: This demonstrates Reveal.js’s vertical slide feature. Great for optional details or deep dives.

Substep 1: Details

This is additional content in a vertical stack.

Navigate down for more, or right to skip to next topic →

Substep 2: More Details

Even more detailed information.

Press Up Arrow to go back, or Right Arrow to continue.

Citations & Quotes

“The best way to predict the future is to invent it.”

— Alan Kay

Or reference research:

Recent work by Smith et al. (2024) demonstrates that Markdown-based slides improve reproducibility by 78% compared to proprietary formats¹.

Media: YouTube Videos

Note: Embed YouTube videos with just the video ID. Perfect for demos, tutorials, or interviews.

Media: All Options

Embed various media types with simple shortcodes:

YouTube: {{< youtube VIDEO_ID >}}
Bilibili: {{< bilibili id="BV1..." >}}
Local videos: {{< video src="file.mp4" controls="yes" >}}
Audio: {{< audio src="file.mp3" >}}

Perfect for demos, interviews, tutorials, or podcasts!

Note: All media types work seamlessly in slides. Just use the appropriate shortcode.

Interactive Elements

Try these keyboard shortcuts:

→ ← : Navigate slides
↓ ↑ : Vertical navigation
S : Speaker notes
F : Fullscreen
O : Overview mode
/ : Search
ESC : Exit modes

Hidden Slide Demo (Inline Comment)

This slide is hidden using the  comment method.

Perfect for:

Speaker-only content
Backup slides
Work-in-progress content

Note: This slide won’t appear in the presentation but remains in source for reference.

Thanks

Questions?

🌐 Website:
🐦 X/Twitter:
💬 Discord:
⭐ GitHub:

All slides created with Markdown • No vendor lock-in • Edit anywhere

Note: Thank you for your attention! Feel free to reach out with questions or contributions.

🎨 Branding Your Slides

Add your identity to every slide with simple configuration!

What you can add:

Element	Position Options
Logo	top-left, top-right, bottom-left, bottom-right
Title	Same as above
Author	Same as above
Footer Text	Same + bottom-center

Edit the branding: section in your slide’s front matter (top of file).

📁 Adding Your Logo

Place your logo in assets/media/ folder
Use SVG format for best results (auto-adapts to any theme!)
Add to front matter:

branding:
 logo:
 filename: "your-logo.svg" # Must be in assets/media/
 position: "top-right"
 width: "60px"

Tip: SVGs with fill="currentColor" automatically match theme colors!

📝 Title & Author Overlays

Show presentation title and/or author on every slide:

branding:
 title:
 show: true
 position: "bottom-left"
 text: "Short Title" # Optional: override long page title

 author:
 show: true
 position: "bottom-right"

Author is auto-detected from page front matter (author: or authors:).

📄 Footer Text

Add copyright, conference name, or any persistent text:

branding:
 footer:
 text: "© 2024 Your Name · ICML 2024"
 position: "bottom-center"

Tip: Supports Markdown! Use [Link](url) for clickable links.

🔇 Hiding Branding Per-Slide

Sometimes you want a clean slide (title slides, full-screen images).

Add this comment at the start of your slide content:

<!-- no-branding -->
## My Clean Slide

Content here...

☝️ This slide uses  — notice no logo or overlays!

🔇 Selective Hiding

Hide just the header (logo + title):

<!-- no-header -->

Or just the footer (author + footer text):

<!-- no-footer -->

☝️ This slide uses  — footer still visible below!

✅ Quick Reference

Comment	Hides
`<!-- no-branding -->`	Everything (logo, title, author, footer)
`<!-- no-header -->`	Logo + Title overlay
`<!-- no-footer -->`	Author + Footer text

☝️ This slide uses  — logo still visible above!

🚀 Get Started

Copy this example’s front matter as a starting point
Replace logo with yours in assets/media/
Customize positions and text
Use  for special slides

Pro tip: Set site-wide defaults in config/_default/params.yaml under slides.branding!

Smith, J. et al. (2024). Open Science Presentations. Nature Methods. ↩︎

Experience

Tue, 24 Oct 2023 00:00:00 +0000

Lin Du

🎓 Defended Master's Degree

Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning

Zero-shot World Models Are Developmentally Efficient Learners, leading discussion

An Efficient Contrastive Deep Learning Model for Identifying Schizophrenia-Specific Neuroanatomical Variations

Investigating causal lag threads within whole-brain circuits

Life in Boston

Harvard

Mapping cell-type-specific transcriptomic entropy across the cortex

Mapping Cell-Type-Specific Transcriptomic Entropy Across the Cortex

Structural brain abnormalities in schizophrenia based on contrastive learning

Structural Brain Abnormalities in Schizophrenia Based on Contrastive Learning

The Neurodynamic Computational Model Reveals Abnormal Multistable Spatiotemporal Patterns and Mechanisms in Schizophrenia

Low-Dimensional Temporal Representations of Brain Functional Networks Using a Transformer-Based Autoencoder

Uni-BrainX: Unified brain imaging across sites by contrastive learning and transformer attention

An efficient contrastive deep learning model for identifying schizophrenia-specific neuroanatomical variations

Example Talk: Recent Work

Example Talk

Dr. Alex Johnson · Meta AI

Research Overview

Code & Math

Dual Column Layout

Left Column

Right Column

Main Content (2/3 width)

Sidebar (1/3 width)

Image + Text Layout

Results

Speaker Notes

Progressive Reveals

Diagrams with Mermaid

Research Results

Custom Backgrounds

Vertical Navigation

Substep 1: Details

Substep 2: More Details

Citations & Quotes

Media: YouTube Videos

Media: All Options

Interactive Elements

Hidden Slide Demo (Inline Comment)

Thanks

Questions?

🎨 Branding Your Slides

📁 Adding Your Logo

📝 Title & Author Overlays

📄 Footer Text

🔇 Hiding Branding Per-Slide

🔇 Selective Hiding

✅ Quick Reference

🚀 Get Started

Experience