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Matan Bar is an accomplished AI researcher and entrepreneur, recognized as a leading figure in the field of generative AI. He is the co-founder and Head of Research at Pika, an innovative AI company focused on creating high-quality, user-friendly video generation tools. Before co-founding Pika, Matan completed his PhD in Computer Science at Stanford University, where his research centered on cutting-edge generative models for images and videos. His work has significantly contributed to the advancement of text-to-image and text-to-video technologies. Prior to his doctoral studies, he was a Research Scientist at Google AI, where he worked on foundational machine learning models. Matan's expertise combines deep academic research with a practical vision for building accessible AI products.
Matan Bar's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Pika in 2023, an AI video platform that quickly secured significant funding and user attention for its ability to generate and edit videos from text and image prompts, aiming to make video creation accessible to everyone.
Authored and co-authored several key research papers during his PhD at Stanford, particularly focusing on controllable generation and editing of visual media, which laid the groundwork for advanced text-to-video models.
As a Research Scientist at Google, he contributed to the development of large-scale machine learning models, gaining early experience in one of the world's top AI research labs.
Tel Aviv University - Year 2006
Tel Aviv University - Year 2006
University of California, Berkeley, Haas School of Business
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Melio is a fintech company that provides a B2B payments platform for small and medium-sized businesses. Its service allows businesses to manage their accounts payable and receivable digitally, offering flexibility in how they pay and get paid. Users can pay bills via bank transfer or credit card, even if the vendor only accepts checks, while vendors receive payments via their preferred method, such as direct deposit or a mailed check. The platform aims to simplify payment workflows, improve cash flow management, and reduce the time businesses spend on administrative back-office tasks.
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