Running Genomics at scale and finding answers using AI
Today’s academic institutions, medical centres, and research facilities are looking for agility, easier management, and access to resources to handle the increased demand for next-generation sequencing (NGS). These types of organizations can benefit from Microsoft’s industry-leading approach to security, privacy, and compliance in the cloud, while minimizing cost and complexity.
October 23 and 24, 2018
With a cloud-based offering that can seamlessly integrate with existing pipelines, Microsoft gives you the ability to analyse genomic data in Azure faster, allowing researchers and medical professionals to get results in hours, not days. This sample-to-answer process is made even easier thanks to an orchestrated ecosystem of innovative partners that can provide turn-key or customised solutions for all your bioinformatics needs.
In this hackathon, experts from the Microsoft Genomics Research team and Industry Healthcare specialists will guide you on creating your Genomics AI solution in the cloud with ease.
Day 1 - October 23, 2018
13:30 - 14:00 | Registration and Welcome
14:00 - 17:00 | Kick-off Microsoft Genomics Hackathon
14:00 - 17:00 | Clarification of proposed challenges
14:00 - 17:00 | Participants forming Teams per challenge
17:00 - 18:30 | Dinner
18:30 - 23:00 | Hackathon – Part 1
Day 2 - October 24, 2018
08:00 - 12:00 | Hackathon – Part 2
08:00 - 12:00 | Demo: Leveraging Mixed Reality Capabilities in Genomics
08:00 - 12:00 | HoloLens (3x 20min slots)
12:00 - 13:00 | Hot Lunch
13:00 - 16:00 | Hackathon – Part 3
16:00 - 18:00 | Team presentations
›› Who should attend
This Microsoft Genomics Hackathon invites Bio-Computer Scientists, Computational Biologists, Data Scientists involved in departments, academic institutions, medical centers, and research facilities focusing on Genomics workloads.
›› Featured speakers
Sander Timmer, PhD
Healthcare Industry Solutions Manager EMEA for Data & AI.
Sander has over 10 years of Data Science experience and focusses on advancing end-to-end AI solutions for our most significant EMEA customers together with our partners. Much of his work is around Predictive Scenarios using machine learning and Cognitive Solution using deep learning. Sander holds a PhD in Big Data Biology and Genomics from the University of Cambridge and the European Bioinformatics Institute.
Erdal Cosgun, PhD
Data Scientist at Microsoft Genomics, AI & Research
Erdal has a PhD in Biostatistics and was Assistant Professor before joining Microsoft. Erdal specializes in creating knowledge out of vast amounts of genomics and other health data.