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Bio-IT World 2025

April 2 – 4, 2025 (All Day)
  • Omni Hotel Boston at the Seaport

Globus at Bio-IT World

Join one of our sessions and stop by the Globus booth. See how we can help you reliably tranfer and share your data, automate many of your data management tasks, and more efficiently access your remote storage and compute resources.

Transforming Scientific Discovery with AI/ML and the Globus Platform

Date: April 2, 2025, 11:15 a.m. | Generative AI Tools
Speaker: Rachana Ananthakrishnan, Executive Director, University of Chicago
Scientific instruments now produce enormous volumes of data that exceed local processing capacity. Online analysis combined with AI/ML methods presents one way of dealing with such massive data streams, intelligently analyzing only interesting subsets or directing instruments to relevant areas of experimental space. We will explore how ML techniques enabled by the Globus platform can help life sciences researchers support distributed data management and computing pipelines to enable efficient data analysis and self-driving experiments. We will illustrate these capabilities using examples of antimicrobial peptide identification, x-ray ptychography, and small molecule screening.

Using Serverless Data Portals for Making Data FAIR by Default

Date: April 3, 2025, 3:30 p.m. | Software & Applications
Speaker: Vas Vasiliadis, Chief Customer Officer, University of Chicago, Globus
The renewed focus on making data findable, accessible, interoperable and reusable (FAIR) requires researchers to invest time and effort in describing, storing and appropriately sharing data products. This is often administrative overhead at the end of a project and results in less than FAIR data. We will describe how this overhead can be substantially reduced or eliminated by using data portal technology and services developed by Globus that allow data to be described and shared as an integral part of the research workflow, thereby making the data FAIR by default.

OSPREY, an Open Science Platform for Better Decision-Making in Public Health

Date: April 4, 2025, 10:40 p.m. | Bioinformatics
Speaker: Brigitte Raumann, Product Manager, University of Chicago, Globus
The COVID-19 pandemic necessitated unprecedented scientific collaboration, leveraging relationships among domain experts, mathematical modelers, and scientific computing specialists to inform public health decisions. Among the myriad outcomes from this collaboration is OSPREY, an open science platform for robust epidemic analysis. We will describe the development and use of the OSPREY prototype and work planned to make it a public resource for epidemiologic modeling and analysis.