Sander Timmer is a Lead Data Scientist Architect in the global Word-Wide Data Insights CTO office at Microsoft. In this role, I focus on delivering end-to-end advanced analytic solutions, often using Machine Learning or Deep Learning techniques on top of our Big Data cloud platform. I obtained my PhD from the University of Cambridge and EMBLEuropean Bioinformatics Institute specialising in Big Data Biology.

Azure Machine Learning

My work at Microsoft

As Lead Data Scientist I was involved with the implementation of Machine Learning and Deep Learning models for various customers. Below are a few PR releases related to my work.

Aviation Analytics at Rolls-Royce

For Rolls-Royce and Singapore Airlines focusing on Fuel Analytics and Predictive Maintenance.

Press released by Rolls-Royce and Microsoft.

Predictive Maintenance at Otis Elevators

Press release by Otis Elevators.

My PhD

In Ewan Birney‘ team I worked on understanding genetic variation on both molecular and whole body phenotypes. My PhD thesis has been published under the title understanding the human epigenome using system genetics.  To this extent, I have been working on the following project:

Big data, biomarker discovery, business strategy, cloud computing, complex biological networks, data mingling, data visualisation, epigenetics, machine learning, market potential, medical genetics, mobile applications, molecular biology, new technologies, next generation sequencing, online marketing, open access, open data, open source, personalised medicine, science into business, start-ups, Internet of Things (IoT), usability and web applications.