About me
I am an Associate Professor at the Maersk Mc-Kinney Moller Institute and the SDU Center for Industrial Software, University of Southern Denmark.
I lead the Applied and Interpretable Machine Learning Research Group and co-chair the Data and Intelligence Lab.
My research lies at the intersection of AI interpretability, representation learning, and scalability of intelligent systems. I received my PhD in Computer Science from Kent State University. My broader interests include algorithmics, knowledge graphs, distributed systems, and applied artificial intelligence.
Selected publications
View all publicationsSelf-Reports Do Not Identify Self-Models: An Identifiability Test for Counterfactual Reports
Philosophy of Machine Learning Workshop, ICML (oral), 2026
Challenges in Deep Learning-Based Small Organ Segmentation
Biomedical Signal Processing and Control, 2026
Data-driven warranty modeling for multi-state deteriorating products with stochastic repair times
Reliability Engineering & System Safety, 112679, 2026
Decoded but Unused: Instruction Tuning Routes Moral Framing into the Judgment Readout
Mechanistic Interpretability Workshop, ICML, 2026
Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG
GenAIK (Generative AI and Knowledge Graphs) workshop, IJCAI-ECAI, 2026
Remaining Useful Lifetime Prediction for Predictive Maintenance in Manufacturing
Computers & Industrial Engineering, 2023
Predictive Maintenance System for Production Lines in Manufacturing: A Machine Learning Approach Using IoT Data in Real-Time
Expert Systems with Applications, 114598, 2021
An improved method of locality-sensitive hashing for scalable instance matching
Knowledge and Information Systems 58(2), 275-294, 2019