Sander Timmer, Ph.D. is a Lead Data Scientist in the World-Wide Data & Artificial Intelligence 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, using Microsoft Azure. I obtained my PhD from the University of Cambridge and EMBLEuropean Bioinformatics Institute specialising in Big Data Biology.

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.


Digital Transformation at Tetra Pak

Press release by Microsoft.

Aviation Analytics at Rolls-Royce

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

Press release 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:

Professional interests

Big data, biomarker discovery, business strategy, cloud computing, complex biological networks, data mingling, data visualisation, deep learning, epigenetics, healthcare wearables, machine learning, medical genetics, 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.