PhD Candidate in Data Science

Research

👨‍🎓 I am a PhD student in Data Science at BMW Group associated with the University of Augsburg and advised by Pr. Dr. Rainer Lienhart.

🚗 Working on developing event sequence models alongside causal explaination for fault diagnostic in vehicles at BMW Group.

🔬 Research Focus: I bridge the gap between complex event sequences and causal reasoning to build reliable, explainable AI systems. My work focuses on Causal Discovery, Large Language Models (LLMs), and Neuro-Symbolic Logic applied to large-scale, high-dimensional vehicle diagnostic data.

⭐️ Open Source Software:

  • 📦 seq2cause: A Python package for unifying population and sample-level causal discovery in high-dimensional event sequences via neural autoregressive density estimation.

💻 Tech Stack: PyTorch, Transformers, LLMs, Causal Discovery, Graph Representation Learning.

📢 I am actively seeking full-time Research Scientist/Machine Learning Engineer roles for 2026. Open to global relocation.

News

  • March 2026: Two papers accepted to ICLR 2026 workshops! I will be presenting my work on multimodal vehicle diagnostics and neuro-symbolic LLMs virtually.
  • Sept 2025: Two papers accepted to NeurIPS 2025 workshops (SPIGM & CauScien) in San Diego, USA.
  • Feb 2025: Presented my work on event sensory data and language models at AAAI 2025.

Selected Publications

(For a full list, please see my Google Scholar)

Beyond Research

  • 💡 Industry Experience: Multiple years as a freelance auto-entrepreneur engineering computer vision models to automate semiconductor wafer inspections.
  • 🇸🇪 Global Perspective: Former Erasmus student at Chalmers University of Technology, Sweden.

I’m active on social media (Linkedin), happy to chat!