In this episode, we are joined by an innovative leader in AI and technology, who has made significant strides in various sectors, including government, healthcare, and education. Our guest's current role at Ellumen involves assisting the U.S. Department of Homeland Security (DHS) and U.S. Customs and Border Protection (CBP) with the development of an advanced chatbot system, pushing the boundaries of next-generation innovation.

Previously, he served as a technology leader at Western University of Health Sciences, where he identified groundbreaking opportunities to leverage AI for improving education. He explored how AI can be used to select the best candidates, train future medical professionals, and optimize healthcare systems.

Miary offers valuable advice for newcomers to the AI field, emphasizing ways to become more involved and make a meaningful impact. This episode is packed with deep insights and forward-thinking perspectives on the evolving landscape of AI and technology.

In this episode, we explore the far-reaching impact of AI in healthcare and beyond. Our guest, Clark Xu, a Senior Machine Engineer with experience at Epic and UW Madison, shares insights into AI's role in data processing, ethical considerations, and industry trends. Clark expands on his significant projects, including PAGER-CoV for COVID-19 research and machine learning for spinal cord injury predictions. Our hosts and guest also explore the potential of generative AI. Join us for an engaging conversation surrounding AI's transformative influence in various domains.

In this episode, we are joined by Zac Yung-Chun Liu, an accomplished ML Engineer with a geophysics background and diverse portfolio of experiences. Zac takes us on a journey through his remarkable career, starting with his impactful work at Hypergiant, where he contributed to groundbreaking AI-driven satellite and space mission control projects. As the founding member of BrainChain AI, Zac offers a glimpse into his current venture involving AI and ML to detect supply chain disruptions, hinting at the exciting developments that lie ahead. Delving into the world of MLOps, Zac provides a clear definition and shares invaluable insights into its practical applications. His expertise shines through as he discusses how MLOps has played a pivotal role in his projects. Zac's academic research at Stanford University takes center stage, where he serves as a research associate. He unveils the intriguing applied ML projects aimed at enhancing remote monitoring of carbon stock in tropical forests and developing innovative solutions such as a shark fin detector and predictive models for shark locomotor activity.