Sander Timmer, PhD, is spearheading GSK’s strategic initiatives to revolutionize the Global Supply Chain with data and AI as Senior Director of AI and Decision Sciences. With over 20 years of experience in Data Science, ranging from writing neural nets to leading teams of data scientists and data engineers delivering production AI systems, Sander has been instrumental in driving innovation in the field. Prior to joining GSK, Sander served as an Industry Solutions Manager in Microsoft’s worldwide Health and Life Sciences team, where he helped strategic accounts leverage cloud-based AI, from simple Machine Learning models to Deep Learning architectures and Genomics solutions.

Sander obtained my PhD from the University of Cambridge and EMBLEuropean Bioinformatics Institute specialising in Big Data Biology.

My work at GSK

I am leading GSK Vaccines’ strategic efforts on utilizing data and AI/ML to create the healthcare of tomorrow. 

My work at Microsoft

At Microsoft I’ve been involved in many large-scale digital transformation projects using machine learning and artificial intelligence. Below are some press releases from my key projects. 

Develop AI-enabled digital health tool for early leprosy detection with Novartis Foundation

Press release by Novartis Foundation.

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.