Andreas Roessler is a CV/ML software engineer with 11 years of experience specializing in large-scale generative image and video models, currently working on diffusion-based avatar research at Meta Reality Labs. He spent six years as a research associate at TUM where he created the FaceForensics++ dataset and published influential work on facial manipulation detection presented to the German government. Andreas has led end-to-end development of production-grade synthetic avatar and multilingual dubbing systems, translating research prototypes into scalable deployments. He combines deep academic rigor—a mathematics master’s with top honors—with hands-on engineering across data strategy, model research, and productionization. Known for organizing community-facing workshops and courses, he bridges media forensics, generative modeling, and practical ML engineering. A detail often overlooked: his background in algebraic curves and computational intelligence informs a mathematically grounded approach to diversity and conditioning in generative models.
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