Authored the book 'Robust Machine Learning: Distributed Methods for Safe AI'; Updated list of publications can be found on his DBLP page.
Research Experience
Gave a lecture on the basics of robustness in distributed model training at a workshop organized by BIRS-CMO; Teaches Privacy in Machine Learning (PriMaL) and Machine Learning B (MLB) at DIKU.
Background
Tenure-Track Assistant Professor in the ML Section of the Department of Computer Science at University of Copenhagen (DIKU). Works primarily on distributed machine learning (a.k.a. federated learning) algorithms, focusing on the challenges of robustness and privacy.
Miscellany
Quoted from Hermann Hesse: 'Nothing is harder, yet nothing is more necessary, than to speak of certain things whose existence is neither demonstrable nor probable. ...' - Hermann Hesse (The Glass Bead Game)