I build AI that makes people's workdays easier and their personal lives more creative.

Currently, I drive post-training efforts for Microsoft 365 Copilot: post-training OpenAI models to synergize better with Microsoft's tools, applications, and ecosystem, with a focus on enterprise and workplace scenarios.

Previously, I drove innovation at Samsung Research, prototyping advanced AI features for the next generation of smartphones, spanning everything from core productivity to digital entertainment.

I completed my PhD at KU Leuven in Belgium under Prof. Matthew Blaschko, contributing to many domains in AI, including image generation models, large language models, distributed learning and privacy-preserving machine learning. Before that, I earned my Master's degree from the Karlsruhe Institute of Technology in Germany, using AI to solve control and perception tasks of autonomous driving.

News

May 17, 2026Our paper "GraTAG: Production AI Search via Graph-Based Query Decomposition and Triplet Aligned Generation with Rich Multimodal Representations" has been accepted to the KDD Industry Track. A link to the paper will be available soon.
Apr 4, 2026Our paper Decoding Text Spans for Efficient and Accurate Named-Entity Recognition has been accepted to ACL 2026 Industry Track as an oral presentation.
Sep 14, 2025I am honored to serve as an Area Chair for CVPR 2026. I look forward to contributing to the community and supporting the review process in this role.
Sep 5, 2025Our paper Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models has been accepted at WACV 2026 (Round 1, accceptance rate 6.3%).

Selected publications

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