Recent advancements in technology and machine learning hold tremendous potential within the medical domain to empower clinical experts and ultimately help patients.
Erik Großkopf
Erik is a PhD student at the Hertie AI Institute. Driven by technological advancement, he focuses on applying machine learning and computer vision to the field of medical imaging. With a curious mind, Erik believes that robust software engineering is the essential foundation for integrating cutting-edge AI into clinical practice. Guided by this belief, and drawing from over six years of industry experience as a developer and startup founder, he applies advanced computational methods to complex medical data, aiming to translate theoretical research into reliable, scalable solutions for real-world healthcare applications.
Recent advancements in technology and machine learning hold tremendous potential within the medical domain to empower clinical experts and ultimately help patients.
Present Positions And Title
PhD Student
Research Group
Career
| Period | Institution | Role |
|---|---|---|
| Since 2026 | Hertie Institute for AI in Brain Health, University of Tübingen | PhD Student |
| 2024 - 2026 | Splinde | Co-Founder & Technical Lead |
Academic Education
| Year | Degree | Institution | Field of Study |
|---|---|---|---|
| 2025 | MSc | University of Tübingen | Computer Science |
| 2020 | BSc | Hochschule der Medien | Computer Science and Media |