Thu, Oct 20, 2022

10 AM – 4 PM EDT (GMT-4)

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In this Google Cloud Platform (GCP) immersion session, you will get an overview of the GCP services available in various categories, followed by hands-on examples of creating and deploying your workloads in the cloud. Learn how to work with Big Data and Machine Learning options available on GCP in the afternoon.

10:00-11:30 AM (presentation)
Overview of Google Cloud Platform

12:30-2:00 PM (hands-on exercise)
Big Data and Machine Learning on Google Cloud: This module explores the key components of Google Cloud's infrastructure. We introduce many of the big data and machine learning products and services that support the data-to AI lifecycle on Google Cloud.

2:30-4:00 PM (hands-on exercise)
Machine Learning Options on Google Cloud: This module explores four different options to build machine learning models on Google Cloud. It also introduces Vertex AI, Google's unified platform for building and managing the lifecycle of ML projects.

Target audience: Researchers looking to learn about cloud computing and options for machine learning in the cloud.

Learning objectives: Participants will come away with an overall understanding of GCP and have gained hands-on experience with machine learning workflows on GCP.

Knowledge prerequisites: Some knowledge of machine learning would be beneficial.

Hardware/software prerequisites: Bring a laptop and power cable. All hands-on exercises can be done using a web browser.

Session format: Presentation and hands-on

Speakers

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Michelle Holko

Michelle Holko, PhD, PMP, is a strategic innovator working at the intersection of biology, technology, and security. She is currently a Principal Architect and Scientist at Google working as the technical lead with the Google Cloud healthcare and life sciences team. She also holds a PI appointment at the International Computer Science Institute (ICSI) at Berkeley, leading a research area at the intersection of biotech and cybersecurity. Prior to joining Google, she served in government as a Presidential Innovation Fellow (PIF), during which time she worked with the Department of Homeland Security’s (DHS) Cybersecurity and Infrastructure Security Agency (CISA), the Department of Defense (DoD) Chemical and Biological Defense Program (CBDP), the NIH’s All of Us Research Program, HHS BARDA, OSTP and NSC. Prior to joining the PIF program, she worked with DARPA and HHS BARDA, and was a fellow in the 2018 cohort of Johns Hopkins University’s Center for Health Security’s Emerging Leaders in Biosecurity Initiative. She has also served as a Staff Scientist at NIH’s NCBI, working with the primary data archives to promote re-use and re-analysis of biomedical research data. Dr. Holko’s technical expertise is in genomics and bioinformatics, and she has experience working on pandemic prevention and preparedness, infectious diseases, cancer, biosurveillance, biosecurity, data science, emerging technologies, health technologies, precision medicine, cybersecurity, and machine learning/artificial intelligence. Dr. Holko is an inclusive, empathetic leader, interested in building security into biotechnology and health innovations to promote innovations in biomedical research. She has spent her career leveraging technology to foster scientific discovery.

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Kristy Patullo

Kristy Patullo works as a Customer Engineer at Google.

Hosted By

PICSciE/Research Computing | View More Events
Co-hosted with: GradFUTURES

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