Jackson Laboratory: Imaging Workflows using Temporal.io to Cure Cancer (...and other useful things)

Abstract

Are you interested in understanding and insights which can help to cure some of humanity’s biggest medical problems? We have been using Temporial.io in the field of image analysis for microscope slides, genetic research using gene expression measurements and deep learning for classifying the aging of cells.

This talk will take you through some of the use cases showing images and data which we process. Delve into the fascinating world of biological data science and learn about the problems we are trying to tackle, how durable workflows help and specifically what the code we used looks like.

We will base the talk around use cases but with an emphasis on how temporal is configured to make our analysis durable and scalable. Most of our source code is open source and we can share our Java and Python code for driving our analyses in the presentation. We will share how we configured Kubernetes and deployed our products.

About the Presenter

Matthew Gerring works in Computational Science for Jackson Laboratory. He has an interest in image analysis, graph databases and of course, durable workflows!