Experience
Oct 2025 - present, Columbia Univesity (New York, US) Visiting Researcher.
kernel methods; optimal transport
Oct 2024 - present, EPFL (Lausanne, CH) Postdoctoral Researcher.
kernel methods in machine learning; inverse problems in high-dimensional/functional statistics; optimal transport
Sep - Dec 2023, University of California, Berkeley (US) Visiting Researcher.
optimal transport; geometric statistics; hosted by Prof. Steve Evans.
Apr - Oct 2020, Teralytics AG (Zürich, CH) Machine Learning Intern in the Data Science team.
Prototyping of probabilistic model to extract insights on human mobility
from telco data using ML, PGMs and particle filters.
