Haokun Chen

About Me

I am a final-year PhD student advised by Prof. Dr. Volker Tresp and Dr. Denis Krompass at LMU Munich and Siemens AG. Currently, I am a Applied Scientist Intern at Amazon working on Preference Optimization for Large Language Models (LLMs). Previously, I worked at Siemens AG as Doctorate Researcher working on Federated Learning and Vision-Language Models (VLMs). I have also interned at Intel, focusing on Adversarial Attacks and Machine Unlearning for LLMs. Prior to my PhD, I received my Master’s degree in Computer Science at Technical University of Munich (TUM), supervised by Prof. Dr. Thomas Runkler, and my Bachelor’s degree in Mechatronics at Tongji University in Shanghai, China.

Research Interests

• Generative AI: Post-training of Large Language Models (LLMs), Vision-Language Foundation Models.
• Distritbuted Model Training: Addressing data heterogeneity/deficiency and system scalability in Federated Learning.
• Trustworthy AI: Adversarial Attacks, Machine Unlearning.

Education

• Nov 2021 - Nov 2025 Ph.D. Computer Science, LMU Munich & Siemens AG, Munich, Germany.
• Oct 2018 - Nov 2021 M.Sc Computer Science, Technical University of Munich (TUM), Munich, Germany.
• Oct 2014 - Oct 2018 B.Sc Mechatronic Engineering, Tongji University, Shanghai, China.

Experience

• Jun 2025 - Dec 2025 Applied Scientist Intern, Amazon, Berlin, Germany.
• Aug 2024 - Nov 2024 Research Scientist Intern, Intel, Remote, USA.
• Nov 2021 - Jun 2025 Doctorate Researcher, Siemens AG, Munich, Germany.
• Mar 2020 - Nov 2020 Research Intern, BMW Autonomous Driving Campus, Munich, Germany.

Publications