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 Amazon Web Services (AWS) for a one day, in-person event to learn how the AWS cloud can help advance your research with the latest tools, Generative AI, High Performance Computing, and storage environments. We will focus on understanding the capabilities and fundamentals of cloud computing and how it can be leveraged for research. Attendees will learn about how state-of-the-art cloud technologies are being used at academic research to accelerate compute-intensive, data-heavy research workloads.
The training will feature use cases, demos, and discussions led by cloud experts and experienced researchers. Whether you're new to the cloud or looking to optimize your existing cloud-based work, this event will provide the knowledge and skills to take full advantage of cloud computing for your research.
In addition to the group sessions, attendees will be able to choose a track to dive deep on information specific to their areas of interests.
Jonathan A. Fozard, associate vice president & chief information officer, information technology services, FSU
Dr. Songhee Han, Assistant Professor in Instructional Systems and Learning Technologies, FSU
Dr. Stacey Patterson, vice president for research, office of research, FSU
Bobby Sprinkle, chief technology officer, information technology services, FSU
Laura Boykin Okalebo, Ph.D., senior business development manager, research computing solutions, AWS
Scott Friedman, Ph.D., principal business development manager, research computing solutions, AWS
Greg Ritter, business development manager, research data & libraries, AWS
Karthik Narasimhan, Ph.D., senior business development manager, genomics and life sciences, AWS
Jianjun Xu, Ph.D., principal solutions architect, AWS
This session will showcase how researchers are using AWS to accelerate their work. Attendees will learn about the latest trends, use cases, and success stories from the research community, highlighting the transformative impact of cloud computing on scientific discovery.
Room: Research Foundation Building A (RF1) Seminar Room #120
This session will cover the key steps for leveraging AWS to support data-driven research workflows - from ingesting and storing data, to performing computational analysis, to visualizing and archiving results. Attendees will learn about the various AWS storage, compute, and analytics services and how to apply them to their research processes.
Room: Research Foundation Building A (RF1) Seminar Room #120
This session will explore how researchers can leverage cloud bursting to meet the computational requirements of their HPC workloads. We will discuss customer case studies showcasing the successful integration of cloud bursting capabilities into HPC environments, as well as best practices for architecting hybrid cloud solutions that dynamically scale on-premises resources with the cloud.
Room: Research Foundation Building A (RF1) Seminar Room #120
This session provides an overview of AWS's cutting-edge AI/ML services that can help advance and accelerate research. You'll learn how to build, train, and deploy custom ML models for your research, and explore the latest advancements in large language models offered in Amazon Bedrock - a fully managed service.
Room: Research Foundation Building A (RF1) Seminar Room #120
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