Samed Bayer is a PhD candidate at the Technical University of Munich (TUM), specializing in Generative AI for Research and Science.
His PhD focuses on leveraging Generative AI to enhance the efficiency of researchers and scientists, exploring solutions that improve their workflows and productivity. Samed is particularly passionate about developing AI-driven tools to simplify and accelerate scientific discovery.
He completed his M.Sc. in Computational Science and Engineering at TUM and his B.Sc. in Mechanical Engineering with a minor in Industrial Engineering at Boğaziçi University. Samed gained valuable experience through multiple industry internships as an AI Engineer and a Software Engineer.
Research Interests
- Generative AI and its applications in science and research
- Multi-modal generative AI systems
- Retrieval-Augmented Generation (RAG) for knowledge enhancement
- AI Agents for automated reasoning and interaction
- Diffusion Models
Curriculum Vitae
Education
| Since 11/2024 | Phd Candidate | Technische Universität München |
| 10/2021 - 05/2024 | Computational Science and Engineering M.Sc. | Technische Universität München |
| 10/2019 - 06/2022 | Mechanical Engineering B.Sc. | Boğaziçi Üniversitesi, Turkey |
Professional Experiences
| Since 11/2024 | Research Associate | Technische Universität München |
| Since 12/2024 | Researcher | Fraunhofer-Gesellschaft |
| 08/2024 - 10/2024 | AI Engineer | iComplai |
| 10/2023 - 05/2024 | Working Student | AI Software Engineer | Sureel AI |
| 05/2022 - 09/2023 | Working Student | Software Engineer | Siemens |