BizData is the strategic Databricks partner for Life Sciences in Asia Pacific, and a leader in the implementation of advanced genomics analysis solutions on Azure.

We are excited to demonstrate to you and your team how you can greatly accelerate your genomics analyses using Databricks Unified Data Analytics Platform for Genomics on Azure.

BizData, in partnership with Microsoft Health and Databricks, will host an interactive session exploring the benefits of running your secondary and tertiary analysis pipelines on Azure, at scale and interactively, using 1-click deployment capabilities and collaborative workspaces.

Specialising in genomics, Databricks Solution Architect William Brandler will demonstrate:

• How Databricks can be used to process genomics data on a population scale.

• Use cases for population scale genomics, from drug discovery to Mendelian randomization.

• Their collaboration with the Regeneron Genetics Center, which has led to the open-source project Glow (projectglow.io).

At the end of the demonstration you will have the opportunity to schedule a follow up deep-dive session, specifically targeted to your area of research or practice.

Meet Your Presenters

Felipe Ayora

Felipe is the Director of Research and Advanced Computing at BizData. He has over 20 years of experience solving complex technical problems for customers in research, education, health, financial services, oil and gas, and other industries. Before BizData, Felipe had a career of almost 15 years with Microsoft, more recently with the Azure HPC Engineering team at Microsoft.

Dr Nic Woods

Nic is the Chief Medical Officer for Microsoft Australia, and has over 25 years of experience in clinical medicine and digital health globally. His role is to positively impact the healthcare of all Australians, through a thriving ecosystem of partners and the innovative use of technologies such as advanced analytics, AI and medical Internet of Things.

William Brandler

William is a Solutions Architect at Databricks.He works with engineers and scientists to improve the automation, scalability, and utility of genomics software tools. William has worked on large-scale whole genome sequencing of families affected by autism.