diff --git a/README.md b/README.md
index 448512a..92d922f 100644
--- a/README.md
+++ b/README.md
@@ -100,7 +100,7 @@ German _(Native)_ • English _(Proficient)_ • French _(Elementary)_
### Recommender Systems for Swiss Politics
*Master’s Thesis* (Feb 2024 - Aug 2024)
-Paper _(confidential - under submission)_ | [Smartvote](https://www.smartvote.ch/)
+Paper _(confidential - under submission)_ | **[Smartvote](https://www.smartvote.ch/)**
Identified 11 vulnerabilities in the swiss voting advice application **Smartvote** with
some allowing for more than 3.5x visibility gains for individual parties. Proposed 10
@@ -113,7 +113,7 @@ being **adopted** in Smartvote’s redesign for the next elections.
### DataComp Challenge
*Semester Project* (Sep 2023 - Dec 2023)
-[Report](https://pub.tik.ee.ethz.ch/students/2023-HS/GA-2023-09.pdf) | [DataComp Website](https://www.datacomp.ai/)
+**[Report](https://pub.tik.ee.ethz.ch/students/2023-HS/GA-2023-09.pdf)** | **[DataComp Website](https://www.datacomp.ai/)**
Ranked 4th out of 12 teams in the small track of the DataComp Challenge, an ML benchmark where the goal was to filter a **CommonCrawl** image-text dataset to train a **CLIP** model evaluated on 38 zero-shot downstream tasks, using a combination of cross-modality filtering and content alignment.
@@ -123,7 +123,7 @@ Ranked 4th out of 12 teams in the small track of the DataComp Challenge, an ML b
### BasketXplainer
*Interactive ML Project* (Feb 2023 - Jul 2023)
-[Interactive Demo](http://b5-winning-in-basketball.course-xai-iml23.isginf.ch/) | [Paper](https://rdcu.be/dXhu2) | [GitHub](https://github.com/brunnedu/BasketXplainer)
+**[Interactive Demo](http://b5-winning-in-basketball.course-xai-iml23.isginf.ch/)** | **[Paper](https://rdcu.be/dXhu2)** | **[GitHub](https://github.com/brunnedu/BasketXplainer)**
Developed an interactive dashboard to predict basketball game outcomes based on in-game stats and explain predictions using **SHAP** values. Users could modify team statistics to explore **what-if scenarios**.
@@ -133,7 +133,7 @@ Developed an interactive dashboard to predict basketball game outcomes based on
### Darts Forecasting Library
*Contributor* (Sep 2021 - Aug 2022)
-[Documentation](https://unit8co.github.io/darts/) | [Paper](https://arxiv.org/pdf/2110.03224) | [GitHub](https://github.com/unit8co/darts)
+**[Documentation](https://unit8co.github.io/darts/)** | **[Paper](https://arxiv.org/pdf/2110.03224)** | **[GitHub](https://github.com/unit8co/darts)**
**Core contributor** to the open-source time series forecasting library Darts by Unit8. Optimized the most popular regression forecasting models by vectorizing computations achieving a speedup of up to **400x**.
@@ -146,7 +146,7 @@ pip install darts
### Distance Preserving Graph Embedding
*Bachelor’s Thesis* (Feb 2021 - Aug 2021)
-[Report](https://pub.tik.ee.ethz.ch/students/2021-FS/BA-2021-17.pdf)
+**[Report](https://pub.tik.ee.ethz.ch/students/2021-FS/BA-2021-17.pdf)**
Developed a model that enables constant-time approximate **shortest path distance
queries** on road networks, achieving an average mean relative error of less than **10%**.
diff --git a/_layouts/default.html b/_layouts/default.html
new file mode 100644
index 0000000..0c289d0
--- /dev/null
+++ b/_layouts/default.html
@@ -0,0 +1,24 @@
+
+
+
+
+
+ {{ page.title | escape }}
+
+ {{ content_for_header }}
+
+
+
+
+
+
+
+
+ {{ content }}
+
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diff --git a/assets/css/style.scss b/assets/css/style.scss
index de0260a..7c22ac1 100644
--- a/assets/css/style.scss
+++ b/assets/css/style.scss
@@ -43,4 +43,24 @@
.wrapper section {
width: auto;
}
-}
\ No newline at end of file
+}
+
+
+/* Set canvas to cover the whole background */
+#torusCanvas {
+ position: fixed;
+ top: 0;
+ left: 0;
+ width: 100vw;
+ height: 100vh;
+ z-index: -1; /* Make sure the canvas is behind the content */
+ pointer-events: none; /* Allow clicks through the canvas */
+}
+
+/* Ensure the content is displayed above the canvas */
+.content {
+ position: relative;
+ z-index: 1;
+ color: black; /* Adjust text color to ensure it stands out against the animation */
+ padding: 20px;
+}
diff --git a/assets/script.js b/assets/script.js
new file mode 100644
index 0000000..0846435
--- /dev/null
+++ b/assets/script.js
@@ -0,0 +1,30 @@
+// Set up the scene, camera, and renderer
+const scene = new THREE.Scene();
+const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);
+const renderer = new THREE.WebGLRenderer({ canvas: document.querySelector('#torusCanvas'), alpha: true });
+renderer.setSize(window.innerWidth, window.innerHeight);
+
+// Create a blue torus
+const geometry = new THREE.TorusGeometry(1, 0.4, 16, 100);
+const material = new THREE.MeshBasicMaterial({ color: 0x0000ff, wireframe: true });
+const torus = new THREE.Mesh(geometry, material);
+scene.add(torus);
+
+// Position the camera
+camera.position.z = 5;
+
+// Animation loop
+function animate() {
+ requestAnimationFrame(animate);
+ torus.rotation.x += 0.01;
+ torus.rotation.y += 0.01;
+ renderer.render(scene, camera);
+}
+animate();
+
+// Adjust canvas on resize
+window.addEventListener('resize', () => {
+ renderer.setSize(window.innerWidth, window.innerHeight);
+ camera.aspect = window.innerWidth / window.innerHeight;
+ camera.updateProjectionMatrix();
+});