Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
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Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, the world’s largest independent robo-advisor based in NYC which manages over $8B in assets. Mackenzie was a founding engineer and Head of Technical Operations at Oscar Health, an insurance startup also based in NYC, helping to grow the company to over 400+ employees.
Join us for an in-person event on leveraging artificial intelligence (AI) and machine learning (ML) in healthcare.
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Discover how these technologies can be leveraged in the cloud to drive innovation, enhance patient care, and facilitate sustained operational excellence.
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Meet with AWS experts and healthcare organizations who have achieved tangible results, and gain additional knowledge and connections to help advance your own organization.
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The agenda will include presentations of AI and ML projects being conducted by healthcare organizations, as well as insightful perspectives from AWS healthcare experts on the following topics:
AI in healthcare, including trends and insights
Modern health data strategy
AI in medical record archives and medical imaging
Security and compliance
AI-driven research and innovation: Hear from Amazon Web Services (AWS) experts and healthcare organizations who have successfully implemented AI and ML strategies to expedite research timelines, enhance data analysis, and improve clinical decision support.
Transforming patient care: Learn about the latest AI applications in clinical decision support, precision diagnostics, and personalized treatment plans, which are revolutionizing patient care and outcomes.
Operational efficiency: Understand how AI can optimize administrative tasks, streamline workflows, and improve resource allocation, enabling seamless clinical and operational continuity.
Patient engagement and adherence: Explore AI-powered tools that enhance patient engagement, improve adherence to treatment plans, and facilitate better communication between patients and healthcare providers.
Stay ahead of the curve: Learn about the latest advancements in AI and ML and how they can be applied to improve patient outcomes and operational efficiency.
Network and collaborate: Connect with peers, AWS experts, and industry leaders to share best practices and explore potential collaborations.
Gain practical insights: Discover how to optimize and customize AI models to better suit specific tasks and domains in healthcare.
Christine Tsien Silvers, MD, PhD - Healthcare Executive Advisor, AWS
Pulkit Jain -Â Principal Machine Learning Engineer, AI/ML Center of Excellence, Memorial Sloan Kettering Cancer Center
Yen Nien (Jason) Hou, PharmD, Lac -Â Herb Information Center Coordinator, Memorial Sloan Kettering Cancer Center
Fred S. Azar, PhD, MBA - Specialist Leader, GenAI / AI / ML for Healthcare, AWS
Bryan Marsh - Principal Solutions Architect, Healthcare, AWS
Sarah Ben Maamar, PhDÂ - Associate Director for Research Services - Weill Cornell Medicine
Anthony Harvey - Senior Security Specialist, AWS
Jenna Eun, PhD - Principal PM, Health & Advanced Computing, AWS WWPS ProServe
Christos Davatzikos, PhD - Director, Center for Biomedical Image Computing and Analytics; Director, AI in Biomedical Imaging Lab, University of Pennsylvania
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Shane Kalil - Region Manager, Northeast Enterprise State Government, Education, and Academic Medicine, AWS
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