Welcome! I'm Andreas Peintner
AI Engineering Lead at doc2me · PhD
I lead AI engineering at doc2me, a content platform that helps healthcare brands work with trusted medical experts on social media. I build the agentic AI that turns raw expert recordings into polished, engaging videos. I come from machine learning research: I earned my PhD in Computer Science at the University of Innsbruck (2026) under Dr. Eva Zangerle, working on sequential recommendation, graph neural networks, and music information retrieval.

Research Areas
Sequential Recommendation
Graph-based modeling of repeated intent and temporal user interactions.
Music Information Retrieval
Nuanced emotion recognition and music recommendation via graph neural networks.
Graph Neural Networks
Efficient shortest-path search, contrastive learning, and hypergraph representations.
Recent Publications
View all publications →Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems (Extended Abstract)
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-26), Sister Conferences Best Papers • 2026
Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations
ACM Transactions on Recommender Systems • 2026
Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval • 2026
Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems?
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization • 2026