Melvin Sevi

I am Melvin Sevi, I just graduated from the Master of Research MVA (Mathematics, Vision, Apprentissage) at ENS Paris-Saclay (École Normale Supérieure Paris-Saclay). This renowned program is distinguished in Europe for its emphasis on rigorous research, particularly in the field of machine learning. My academic journey also includes a solid foundation in Applied Mathematics and Computer Science from Sorbonne University, which has fueled my motivation for pushing the boundaries of machine learning.

My research interests span diverse areas, including Diffusion Models, Language Models, and Multimodal Learning. I am deeply motivated to contribute to innovative developments in these fields. Recently, I completed an internship with the Computer Vision & Learning Group at LMU Munich, under the supervision of Prof. Björn Ommer. I am currently seeking PhD opportunities focusing on NLP and Multimodal Learning.