Researcher & Academic
Advancing knowledge through innovative research, collaborative projects, and academic excellence.
Passionate researcher dedicated to advancing scientific knowledge
I am a dedicated researcher with expertise in the field of AI in Medicine and Healthcare. My work focuses on medical imaging and the implications of generative AI. I have multiple years of experience the academic and industrial world and am working with Daniel Rueckert and Jiazhen Pan.
Now: Ph.D. in AI in Medicine from TUM
2020 - 2023: M.Sc. in Robotics, Cognition, Intelligence from TUM
2016 - 2020: B.Sc. in Medical Engineering from FAU Erlangen
Imaging, Diffusion Models, Autoregressive Generation, Cardiac MRI
Mastered Ctrl+C and Ctrl+V at an Olympic level.
Exploring the frontiers of knowledge
Conducting research on innovative artificial intelligence techniques to enhance cardiac MRI, focusing on improving image reconstruction quality and achieving higher resolution through state-of-the-art superresolution algorithms.
Applying diffusion models and generative AI to healthcare and medical imaging, with a focus on exploring the spectrum between reconstruction and generation.
Developing advanced techniques to tokenize high-dimensional medical data, enabling more effective use of generative AI models in healthcare applications.
Recent contributions to academic literature
Navigate through my career timeline
Software Developer → Team Lead → Advisory Engineer
2018 - 2021 · 3 years
3-year journey developing autonomous vehicle technology for Formula Student competitions. Led autonomous software development, implemented SLAM and perception systems, and established agile development processes.
IoT Devices and Mobile Software Engineer
2019 - 2021 · 2 years 6 months
Conducted comprehensive E2E testing for mobile and web applications, developed automated UI tests, and handled IoT device commissioning. Specialized in REST API testing and mobile platform validation.
Tool Development for HiL Test Automatisation
2021 - 2022 · 1 year 2 months
Developed full-stack solutions including Chrome Extensions, Flask servers, and Windows Services. Focused on test automation, multithreaded systems, and performance optimization for automotive testing environments.
Member → Head → Advisor Industry Department
2022 - 2024 · 2 years
Leading Germany's top AI student initiative with 100+ members. Managing industry partnerships with Google, Microsoft, Infineon, and others. Supervising AI projects and developing strategic partnerships.
Let's collaborate and advance research together
niklas.bubeck@tum.de
Walther-von-Dyck-Straße 4
Galileo 5. OG
85748 Garching bei München
People call me Bubi, but you can call me anytime :P