Several papers accepted by top conferences such as CVPR 2024 and SIGGRAPH. Notable works include: ShotAdapter (Text-to-Multi-Shot Video Generation), Personalized Residuals for Concept-Driven Text-to-Image Generation, and Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. Also received the Adobe Tech Excellence Award in 2023 for his contributions to starting the engineering efforts of Adobe's Firefly models.
Research Experience
Served as the tech lead for developing foundational text-to-video models for Adobe Firefly. Involved in multiple projects including the Adobe Firefly Video Model, Video GenExtend, and Adobe Firefly Image Model v2.
Education
PhD from the Knowledge Technology group at the University of Hamburg (Germany). Before that, completed a research-oriented Master's degree in Intelligent Adaptive Systems at the University of Hamburg. Received a Bachelor's degree in Business Informatics at the University of Mannheim, during which also studied at the National University of Singapore for one semester.
Background
Tech Lead for core foundational models at Adobe Firefly, responsible for developing the next generation of Generative AI models. Previously, a Research Engineer at Adobe Research where he started the engineering efforts of Adobe Firefly and trained the first model that was released. Since then, has led the development and training of the latest foundational imaging and video models powering Adobe Firefly's applications across various products, working with teams across Adobe on improving these models to enable great user experiences and ship innovative applications.