Amine Kobeissi

Hi, I’m Amine Kobeissi, a master’s student in computer science at Université de Montréal, where I focus on artificial intelligence and machine learning supervised by Prof. Philippe Langlais. My research interests lie at the intersection of machine learning, natural language processing, optimization, and quantitative finance. I’m currently focused on Retrieval-Augmented Generation (RAG) for financial question answering, studying how retrieval quality and advanced information-retrieval strategies affect downstream generation, and how to narrow the gap between ideal evidence and what systems actually retrieve.

I previously completed a B.Com. in Mathematics at McGill University with a concentration in business analytics, where I was a Research Fellow with Prof. Shoeb Hosain in the Data Sphere Lab.

This summer, I joined Morgan Stanley as a Quantitative Strategist Summer Associate on their eFX algo execution desk, and have several other data science internship experiences.

You can find more of my work on GitHub and connect with me on LinkedIn.