I am a research scientist specializing in post-training, model merging, and multi-task learning for foundation models. I completed my PhD at École Polytechnique Fédérale de Lausanne (EPFL), under the supervision of François Fleuret and Pascal Frossard. During my PhD, I completed two research internships at Google DeepMind, spanning LLM post-training and text-to-image generation. My work focuses on understanding weight-space and loss-landscape geometry to design efficient, scalable post-training and model-editing methods for large foundation models.

Before coming to Switzerland, I completed my undergraduate studies in Electrical and Computer Engineering at the National Technical University of Athens in Greece. I conducted my thesis (available here in Greek) at the CVSP lab under the supervision of Petros Maragos. The focus lied on using tropical geometry to analyze Morphological Neural Networks, studying the sparsity of their representations compared to their linear counterparts, their ability to enforce shape constraints such as monotonicity, and extending a training algorithm based on Difference-of-Convex Programming to multiclass problems.

I am also an avid classical guitar player! I love playing Baroque and romantic pieces, such as compositions by Agustín Barrios Mangoré. Check out this beautiful performance!

Download my resumé .