PhD candidate & data scientist specializing in topological and geometric machine learning. Founder @ Krv.
- Topological & geometric machine learning
- Graph neural networks & knowledge graphs
- Applied projects in Healthcare and Environmental Science
- Representation Learning as a Service
- Thema: Graph-based modeling and analysis for US Coal Plants (Nature Energy, 2025).
- Rings: Evaluating graph learning datasets with topological and structural priors.
- Apparent: Tools for interpretable patient representation learning in healthcare (IPLDSC 2024).
- Presto: Topological analysis of latent representations in deep learning (ICML 2024).
- Scott: Novel filtrations for probing latent space geometry (NeurIPS 2023).
- Polka: Building private knowledge-base (hosted by neo4j) using local llms.
- Languages: Python, Typescript
- Specialties: Graph neural networks, topological data analysis (TDA), representation learning
- Tools: Knowledge graphs, graph databases (Neo4j), Docker, Kubernetes, Terraform
- 🏄 Surfer
- 🎿 Skiing & Snowboarding
- 🎻 Cello player
- 🚴 Biking in Bavaria
- 🌍 Travel explorer
- 👐 Advocate for open science & reproducible ML
- 🌐 jeremy-wayland.me
- 🏢 krv.ai