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Dr Antonios Meimaris

"The first step of a reliable AI tool is parsing - everything downstream depends on it. We are committed to eliminating the garbage-in problem and enabling efficient, trustworthy AI systems that actually make a difference."

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​Antonis Meimaris has worked on diffusion models for over 15 years, combining deep research with real applied impact across AI, mathematics, and quantitative modeling.

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He has served them as:

  • AI Research Mathematician

  • PhD in diffusion models, working with them since 2013

  • MIT & Caltech conferences invited speaker; Columbia University Visiting Scholar

  • Recognized by the Australian Research Society, the Greek State, and the United Nations

  • OpenAI DALL-E, GPT, and Research Tools Early Tester & Contributor

  • Chief Data Scientist/AI Product Owner specializing in AI and quantitative modeling

  • Monash University Prestigious Award Recipient (doctoral research)

  • CDC & NASA Initiative - Invited Contributor

  • Forbes 30 Under 30 â€‹

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