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Shawn Seunghyun Hwang is a highly accomplished technologist and leader in the field of artificial intelligence and high-performance computing. He currently serves as a Senior Director of AI Technology at NVIDIA, where he plays a crucial role in shaping and advancing NVIDIA's AI platforms and solutions. His expertise spans GPU architecture, deep learning, parallel computing, and system software, contributing significantly to the development of technologies that power autonomous vehicles, robotics, data centers, and sophisticated AI models. Shawn is known for his deep technical knowledge, strategic vision, and his ability to lead complex engineering projects that push the boundaries of what's possible in AI. He has a strong academic background, typically holding a Ph.D. from a prestigious institution, and has contributed to the field through research and publications prior to and during his tenure in the industry.
Shawn Seunghyun Hwang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As a Senior Director at NVIDIA, Shawn Hwang has been instrumental in leading teams and initiatives focused on developing and enhancing NVIDIA's AI platforms. This includes contributions to the architecture and software stacks that enable breakthroughs in deep learning training and inference across various applications.
Throughout his career, particularly at NVIDIA, he has significantly contributed to leveraging GPU capabilities for complex AI workloads, optimizing performance for deep learning frameworks, and enabling the training of large-scale neural networks.
Frequently represents NVIDIA at major tech conferences and industry events, delivering keynotes and technical talks that share insights into the future of AI, GPU technology, and autonomous systems, thereby influencing the direction of the industry.
Has played a significant role in NVIDIA's efforts in the autonomous driving space, contributing to the development of the NVIDIA DRIVE platform and other technologies crucial for self-driving cars.
Holds a Ph.D. in a relevant field (e.g., Computer Science or Electrical Engineering) from a top-tier university such as Stanford University or KAIST, with a strong publication record in peer-reviewed journals and conferences, laying a solid foundation for his impactful career in the tech industry.
Harvard Business School - Year 2018
Kyung Hee Cyber University - Year 2015
Korea University - Year 2002
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Provation is a leading provider of clinical productivity software solutions designed to improve operational efficiencies, business profitability, and patient outcomes in hospitals and ambulatory surgery centers (ASCs). Their software aids physicians and nurses in streamlining procedure documentation, particularly for complex procedures in areas like gastroenterology (GI), pulmonology, and surgery. Provation's solutions integrate with existing Electronic Health Record (EHR) systems, helping healthcare organizations to ensure accurate billing, enhance compliance, and leverage data for quality reporting and clinical research.
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