Nexus Labs updated

our-initiatives/Nexus-Labs/Research Pillars/ai-for-biomedicine.md

@@ -0,0 +1,23 @@
+# 🧬 AI for Biomedicine  
+### *AI systems that advance biology, medicine, and healthcare.*
+
+This pillar applies machine intelligence to understand biological systems, support clinical decisions, and accelerate discoveries.
+
+---
+
+## 🔍 Research Areas
+
+- Medical imaging and diagnostics  
+- Molecular biology, genomics & drug discovery  
+- Public health and epidemiological modelling  
+- Personalised & preventive medicine  
+- Clinical decision support  
+- Computational physiology
+
+---
+
+## 🎯 Impact
+
+From early detection to personalised treatment pathways, biomedically-aligned AI drives meaningful real-world impact, and saves lives.
+
+[← Back to Nexus Labs](/our-initiatives/Nexus-Labs/)

our-initiatives/Nexus-Labs/Research Pillars/computational-foundations.md

@@ -0,0 +1,23 @@
+# 📐 Computational Foundations  
+### *The mathematical bedrock of modern AI.*
+
+This pillar advances the theoretical and algorithmic structures behind AI systems.
+
+---
+
+## 🔍 Research Areas
+
+- Machine learning theory  
+- Optimisation and numerical computation  
+- Statistical methods  
+- Logic, reasoning, and knowledge representation  
+- Probabilistic modelling  
+- Decision theory and planning  
+
+---
+
+## 🎯 Why It Matters
+
+Robust theory creates scalable, explainable, and reliable AI systems, forming the foundation of all other pillars.
+
+[← Back to Nexus Labs](/our-initiatives/Nexus-Labs/)

our-initiatives/Nexus-Labs/Research Pillars/embodied-intelligence.md

@@ -0,0 +1,23 @@
+# 🤖 Embodied Intelligence  
+### *Where physical interaction becomes intelligence.*
+
+**Embodied Intelligence** studies how intelligence emerges from interacting with the physical world, blending robotics, perception, control, and agentic reasoning.
+
+---
+
+## 🔍 Research Areas
+
+- Robot learning and control  
+- Multi-agent systems  
+- Human–robot interaction 
+- Vision-language-action models  
+- Sim2Real transfer  
+- Embodied cognition  
+
+---
+
+## 🧩 What We Explore
+
+Projects span robotic locomotion, manipulation, reinforcement learning for control, and real-world deployment of embodied agents.
+
+[← Back to Nexus Labs](/our-initiatives/Nexus-Labs/)

our-initiatives/Nexus-Labs/Research Pillars/human-centered-ai.md

@@ -0,0 +1,22 @@
+# 🧑‍🤝‍🧑 Human-Centered Artificial Intelligence  
+### *AI built for humans, with humans, and around human values.*
+
+This pillar focuses on AI systems that remain interpretable, trustworthy, ethical, and collaborative.
+
+---
+
+## 🔍 Research Areas
+
+- Visual computing and multimodal perception  
+- Explainability, transparency, and safety  
+- Human–AI interaction and collaboration  
+- Human-in-the-loop learning  
+- Evaluation frameworks for responsible AI  
+
+---
+
+## 🎯 Our Goal
+
+AI should augment human abilities, not replace them, while remaining accountable to the people it serves.
+
+[← Back to Nexus Labs](/our-initiatives/Nexus-Labs/)

our-initiatives/Nexus-Labs/index.mdx

@@ -0,0 +1,89 @@
+# 📘 Nexus Labs
+### *The UK’s Largest Student-Run AI Research Labs*
+
+Welcome to the **Nexus Labs**, the research division of the **UCL Artificial Intelligence Society**, where students, researchers, and innovators collaborate to build the next generation of AI systems.
+
+Our mission is simple: **empower students to produce high-quality, impactful AI research** through structure, mentorship, and visibility on a larger stage.
+
+---
+
+## 🌟 What We Are
+
+Nexus Labs is UCL’s central hub for student-powered AI research.  
+We provide:
+
+- 👥 Research communities organised into thematic pillars  
+- 🛠️ Skill-building workshops, seminars, and technical mentorship  
+- 📊 Demo days, poster sessions, and peer evaluation  
+- 🔬 Access to advanced research tools
+- 🎤 Presentation opportunities with academics and industry  
+- 🏆 Support in preparing submissions for top conferences  
+  - NeurIPS, ICML, ICLR  
+  - CVPR, ACL, EMNLP  
+  - SIGGRAPH, ICRA, IROS, CHI, UIST, and more  
+
+---
+
+## 🧭 Our Research Pillars
+
+Explore our four core pillars:
+
+- 🧬 [AI for Biomedicine](our-initiatives/Nexus-Labs/Research Pillars/ai-for-biomedicine.md)
+- 📐 [Computational Foundations](our-initiatives/Nexus-Labs/Research Pillars/computational-foundations.md)  
+- 🤖 [Embodied Intelligence](our-initiatives/Nexus-Labs/Research Pillars/embodied-intelligence.md)  
+- 🧑‍🤝‍🧑 [Human-Centered Artificial Intelligence](our-initiatives/Nexus-Labs/Research Pillars/human-centered-ai.md)  
+
+---
+
+## 🧪 Research Tracks
+
+### 🎓 Advanced Track
+For experienced student-researchers ready to commit to ambitious, high-impact projects.
+
+- Intensive mentorship  
+- Structured research expectations  
+- Professional guidance  
+- Eligibility for advanced computational resources  
+
+Members struggling to maintain the required pace may be moved to the **Exploratory Track** for a more flexible environment.
+
+### 🌱 Exploratory Track
+For students exploring AI research or developing early-stage ideas.
+
+- Foundational workshops  
+- Light mentorship  
+- Emphasis on creativity and experimentation  
+- Access to all Nexus Labs events  
+
+---
+
+## 🛠️ Research Framework
+
+Our structured research cycle ensures meaningful growth for all students:
+
+1. **Pillar Pools** — Join a community aligned with your interests  
+2. **Team Formation** — We help match complementary skills  
+3. **Workshops & Seminars** — Held bi-monthly across all pillars  
+4. **Peer Evaluation** — Demos and poster sessions to refine work  
+5. **Visibility** — Public presentations and showcase events  
+6. **Conference Preparation** — Support for writing & submitting papers  
+
+---
+
+## 📅 Timeline & Research Culture
+
+Key conferences our teams target:
+
+- **NeurIPS • ICML • ICLR**  
+- **CVPR • SIGGRAPH • IROS**  
+- **ACL • EMNLP**  
+- **CHI • UIST**
+
+Throughout the year, we emphasise:
+
+- ❓ *Be specific. Keep questioning.*  
+- 🔄 *Stay connected. Stay motivated.*  
+- 🔍 *Research thoroughly.*  
+- 🧩 *Build and prove ASAP.*  
+
+---

our-initiatives/tutorials/2025-2026/intro-to-ai.md

@@ -0,0 +1,15 @@
+---
+sidebar_position: 2
+---
+
+# 0: Introduction to AI
+
+**Date: 2nd October 2024**
+
+💡 We're excited to present our **Introduction to Artificial Intelligence** tutorial session! In this session, we'll take you on a journey to understand the different perspectives on AI and its evolution. We will also cover definitions of the key components of AI, including **Machine Learning** (ML) and **Deep Learning** (DL). **Generative AI**, especially models like GPT-3 and updated versions of this, has created significant attention in recent years. These models have demonstrated the ability to **generate human-like text and creative content** across multiple areas, ranging from **text to image and audio synthesis**. We will showcase some of these examples in the session! Please note that though this session is introducing what AI is in general, we will be mainly **focusing our series on ML**. 💡
+
+You can access our **demonstration notebook** here: 📘 [**Tutorial 0 Notebook**](https://github.com/UCLAIS/ml-tutorials-season-5/blob/main/week-0/ai_code_examples.ipynb)
+
+You can access our **slides** here: 💻 [**Tutorial 0 Slides**](https://www.canva.com/design/DAGSEETkOlo/6odBSGgHuNmrCqUAUwCbAA/view?utm_content=DAGSEETkOlo&utm_campaign=designshare&utm_medium=link&utm_source=editor)
+
+The **recording** from this session is available here: 🎤 [**Tutorial 0 Recording**](https://youtu.be/3E5aampSpvc)

src/data/committee.js

@@ -142,10 +142,16 @@ const committee = {
       members: [
         {
           name: 'Edwin Redhead',
-          position: 'Head of Nexus Labs',
-          image: 'edwin_redhead.jpg',
+          position: 'Co-lead Nexus Labs',
+          image: 'edwin.jpg',
           course: 'MEng Robotics and AI (2nd year)',
         },
+        {
+          name: 'Aiden (Yiliu) Li,',
+          position: 'Co-lead Nexus Labs',
+          image: 'aiden.jpeg',
+          course: 'BSc Comp Sci (3rd year)',
+        },
       ],
     },
     // {