publications = FileAttachment("pub.json").json()
// Function to format authors - handles both string and array
function formatAuthors(authors) {
if (typeof authors === 'string') return authors;
if (Array.isArray(authors)) return authors.join(", ");
return "";
}
// Create the HTML for publications
html`<div class="pub-container">
${publications.publications.map(pub => {
return `
<div class="pub-card">
<div class="pub-thumbnail">
<img src="${pub.thumbnail}" alt="${pub.title} thumbnail">
</div>
<div class="pub-content">
<div class="pub-header">
<h2 class="pub-title">${pub.title}</h2>
<span class="pub-year">${pub.year}</span>
</div>
<div class="pub-authors">
${formatAuthors(pub.authors)}
</div>
<div class="pub-venue">
<strong>${pub.venue}</strong>, ${pub.date}
${pub.media ? `• As seen on: <a href="${pub.media.url}" style="color: #0366d6;">${pub.media.name}</a>` : ''}
</div>
<div class="pub-links">
${pub.links.map(link =>
`<a href="${link.url}" class="pub-link">${link.label}</a>`
).join('')}
</div>
</div>
</div>
`
}).join('')}
</div>`
Jean de Dieu Nyandwi
I am Jean de Dieu Nyandwi. I work on machine learning and multimoda AI. I recently completed MS Engineering AI at Carnegie Mellon University. I have had a fortune to work with Prof. Graham Neubig and other amazing people at CMU, mostly working on evaluation and compositionality in visual language models. I also have interests in AI education and accessibility, and I spend a fair amount of time designing, exploring, and sharing learning resources.
I did undergrad in Electronics and Telecommunication Engineering at University of Rwanda, majoring in machine learning on the side. Prior to that, I achieved the top score, country wide, in Advanced Level National Examinations in Electronics and Telecommunication, senior highschool.
Beside technical works, I regularly workout, mostly resilience training and calisthenics, some basketball, and walks sometime.
Publications
Latest News
- Dec 2024 - Joining Neulab at LTI CMU as a visiting researcher, working with and learning a lot from Graham Neubig and the team 🤍🥳!!
- Oct 2024 - We are releasing Pangea-7B, a fully open multilingual multimodal LLM that outperform existing open models in multilingual & culturally diverse contexts 🔥🔥. Release include models, code, training data, benchmark!!
- Oct 2024 - NaturalBench paper is now publicly available on ArXiv!!
- Sep 2024 - NaturalBench was accepted to NeurIPS 2024 - Datasets and Benchmarks Track 🥳🔥
- May 2024 - Graduated from CMU MS Engineering AI!!
- Jul 2023 - Published Transformer Blueprint article!
- Oct 2022 - Listed in top 50 AI influencers by Onalytica
- Sep 2022 - Nominated in DeepLearning.AI Event Ambassadors Spotlight 2022
- Aug 2022 - Started MS AI at Carnegie Mellon University Africa
- May 2022 - Complete Machine Learning Package is now available on web
Invited Talks
- June 2024 - Presented Multimodal LLMs at IndabaX Rwanda. Find slides here!