His research contributions have been accepted at workshops and conferences, including MLSys @ NeurIPS 2023, WANT @ ICML 2024, Foundation Models for Science @ NeurIPS 2024, PhD Consortium @ KDD 2024, EuroPAR, PDP, and ICDCS. His Ph.D. research was also featured by FNR (Luxembourg National Research Fund) and HIPEAC Info Magazine 75th edition (three minute thesis).
Research Experience
Collaborated with AI research labs including Google DeepMind and OpenAI. Worked as an AI researcher for Frontier Development Lab Europe 2024.
Education
Ph.D. in ML for Systems. His Ph.D. research was part of the EuroHPC MALESTROM project, where he developed performance models for deep learning workloads.
Background
Working on the PyTorch compiler at Meta, with expertise in ML for Systems, Performance Modeling, GNNs, LLMs, and Multimodal Learning.