Ph.D. Student in Computer Vision & Machine Learning at TU Dortmund University, focusing on multimodal learning in planetary science. I build deep learning systems that make sense of remote sensing data from the Moon and beyond.
- Deep learning for planetary remote sensing, including detecting Apollo landing sites and analyzing lunar swirls from multimodal satellite data
- Multimodal learning that combines heterogeneous data sources into unified models
- Classical and modern optimization, from saliency algorithms to custom PyTorch implementations
| Project | Description |
|---|---|
| lunar-technosignatures | Deep learning approach to detecting Apollo landing sites on the lunar surface, with an accompanying research paper |
| multimodal-lunar-swirls | Investigating lunar swirls by modeling relationships between different remote sensing modalities |
| simple-levenberg-marquardt-torch | A clean PyTorch implementation of the Levenberg-Marquardt optimization algorithm |
| saliency | A collection of saliency map algorithms, including Itti's method |
- 🌐 Website: nder.online
- 🎓 ORCID: 0009-0008-3051-5976
- 📍 Dortmund, Germany