Daniel Griffin

Daniel Griffin is a Senior Applied AI Scientist at Amazon, where they focus on developing innovative AI solutions and advanced generative AI methods. With nearly 15 years of experience in AI, machine learning, and data science, they have successfully led over 50 AI projects, utilizing techniques such as deep generative modeling and causal inference. Daniel's academic background includes a Bachelor's degree in Computer Engineering from the University of Cincinnati and a Master's degree in Computer Science from the University of Wisconsin-Madison. They have previously worked at notable organizations such as Cisco and Sandia National Laboratories, contributing significantly to machine learning applications in health monitoring and customer experience.