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BruinCloud Researcher Enablement Series - Session 3: Big Data and Applied AI for Research

  • Fri, May 29, 2026
  • 9 a.m. to Noon
Online
 
Laptop on table with pens, notebook and headphones

Overview

Session 3 of the BruinCloud Research Enablement Series focuses on working with large datasets and applying AI tools to research workflows using Google Cloud Platform services available through BruinCloud.

This session is designed for researchers working with data-intensive projects who want to better understand how to store, query, and analyze large datasets while integrating AI into their workflows.

Participants will explore how services such as BigQuery and Agent Platform (formerly Vertex AI) enable scalable data analysis and support applied AI use cases across disciplines.

Topics Include:

  • Using BigQuery to query and analyze large-scale datasets
  • Working with public and domain-specific datasets (e.g., genomics, climate, transportation)
  • Building AI-powered research workflows using Agent Platform (formerly Vertex AI)
  • Overview of DeepMind scientific models and their research applications
  • Hands-on lab: BigQuery and JupyterLab workflows in Agent Platform (formerly Vertex AI) (optional participation)
  • UCLA research example applying AI and large-scale data analysis to network security

Event Details

  • Format: Virtual
  • Length: Approximately 3 hours
  • Date and time: May 29, 2026, 9:00am to 12:00pm PT

Register to attend Session 3.

Zoom details will be provided via email to all registered attendees prior to the session. For questions in advance, please contact engagement@it.ucla.edu(link sends email). 

 

About the Series

The BruinCloud Researcher Enablement Series is a three-part virtual series focused on creating awareness and practical understanding of AI and cloud tools available to UCLA researchers.

Session 1 (April 30)
 Get started with Google Cloud and Gemini, including access, tools, and UCLA use cases

Session 2 (May 15)
 Explore advanced AI models, GPUs and TPUs, and hands-on workflows for computational and data-intensive research

Session 3 (May 29)
 Learn how to work with large datasets and apply AI tools to research workflows using services such as BigQuery and Vertex AI

Office Hours (May 7 & May 21)
Optional office hours will be offered between sessions to support follow‑up questions, architecture discussions, and project planning.

Future BruinCloud enablement offerings will continue to highlight new tools and capabilities as they become available to the UCLA research community.