Jonas Witte is a PhD candidate at the Technical University of Munich and is working on the question of how generative AI, in particular Large Language Models (LLMs), can be used effectively by researchers.
His current research focuses on the identification of use cases, their technical implementation - including retrieval augmented generation (RAG) and fine-tuning - and the evaluation of these approaches. A central aspect of his work is the comparison of different models in order to better understand their potentials and limitations. He is also pursuing the goal of developing practice-oriented guidelines for the use of generative AI in scientific research.
He made a conscious decision to do a PhD because he is fascinated by doing something that no one has done before him and thus taking science a step further. He also enjoys supervising theses and seminars because he finds it exciting to accompany students on their journey and help them to develop and tackle their own scientific questions.
Jonas Witte holds a Bachelor of Science and a Master of Science in Information Systems. He gained professional experience through internships at PwC in the Risk Assurance Solutions division, at Accenture in the Data & AI Strategy division and at zeb in the IT Compliance & Resilience division.
Research Interests
- The use of Generative Artificial Intelligence (GenAI) by researchers, including:
- Identification of use cases and their technical implementation (especially RAG and fine-tuning)
- Comparison of different technical implementations
- Challenges with regard to data security and data protection and their solutions
- Introduction of GenAI into existing work processes of researchers and the effects of these changes
Curriculum Vitae
Education
| Since 11/2024 | Phd Candidate | Technische Universität München |
| 10/2022 - 09/2024 | Information Systems M.Sc. | Technische Universität Darmstadt |
| 10/2019 - 06/2022 | Information Systems B.Sc. | Technische Universität Darmstadt |
Professional Experiences
| Since 11/2024 | Research Associate | Technische Universität München |
| Since 12/2024 | Researcher | Fraunhofer-Gesellschaft |
| 04/2024 - 06/2024 | Intern | IT Compliance & Resilience | zeb consulting |
| 09/2023 - 12/2024 | Intern | Data & AI Strategy | Accenture Deutschland |
| 11/2022 - 08/2023 | Research Assistent | Chair: Software & Digital Business | Technische Universität Darmstadt |
| 07/2022 - 10/2022 | Intern | Risk Assurance Solutions | PwC Deutschland |
| 04/2021 - 04/2022 | Research Assistent | Chair: International Economics | Technische Universität Darmstadt |
Publications
Witte, Jonas; Gao, Kevin; and Zöll, Anne, "Artificial Intelligence: The Future of Sustainable Agriculture? A Research Agenda" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 2. aisel.aisnet.org/hicss-56/da/analytics_for_green_is/2