Amstel Auditorium, Amsterdam UMC, De Boelelaan, 1013 AK Amsterdam

ADS/AMDS Drinks & Data: Personalisation in Health

In the first joint meetup by AMDS and ADS, we will focus on Data Science techniques to create personalised treatments for health and well being. By using advanced predictive analytics based on historical data, individualized treatments strategies can be designed. All talks will feature real life examples of personalisation.


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17:15 Walk-in
17:30 Welcome & Introduction
17:35 Keynote: Personalized Body Activity Programmes
by Aart van Halteren
Endowed Professor of Health Behaviour Informatics and Principal Scientist with Philips Research
18:05 Flash Talk #1: 3D Radiation Dose Reconstruction
by Peter Bosman
Senior Researcher in Medical Informatics at CWI & Professor of Evolutionary Algorithms at Delft University of Technology
18:20 Flash Talk #2: From Models to the Beside
by Patrick Thoral
Intensivist at Amsterdam UMC
18:35 Flash Talk #3: Creating Value for Patients
by Ewoud Pons
Medical Doctor, NLP/Machine Learning Scientist at Elsevier
18:50 Questions & Answers
19:00 Drinks, Pizza & Networking
20:00 End


About the Speakers

Aart van Halteren

At Philips Research, Aart leads a team of concept designers, computer scientists and health psychologists, who create technology on a scientific basis that promotes a healthy lifestyle. Aart focuses on healthy eating and compliance with a personalized body activity program and therapy compliance solutions for chronic patients.

Peter Bosman

Peter’s fundamental research focus is on the design and application of efficiently scalable model-based evolutionary algorithms (EAs). His applied research focus is on the use of EAs to solve key problems in the LSH domain. A specific focus thereby is on radiation oncology, including automated treatment planning, 3D dose reconstruction, and deformable image registration.

Patrick Thoral

Patrick works as an intensivist at the Intensive Care Department at the Amsterdam UMC, location VUmc and is also engaged in the application of machine learning techniques in the medical domain, specifically at the Intensive Care. Developing a model is just the first step. To bring a model to the bedside, model validation, software prototyping, end-user testing, engaging all stakeholders and sometimes even CE-certification are required. In his talk, Patrick will illustrate this process by a real-world decision support tool for discharge from the Intensive Care unit.

Ewoud Pons

Ewoud is a medical doctor with experience in clinical radiology, but proceeded to do PhD research in medical informatics/data science during which he has gained experience in developing NLP and ML pipelines. He has worked on creation of data-driven prediction models from routine EHR data and service such models as clinical decision support system. Ewoud is also trained as a clinical epidemiologist. He has joined Elsevier as a data scientist to combine his experience with algorithmic computing and epidemiology to generate value for patients and care providers.

Other details

Date: Tuesday 19 November 2019
Time: 17:30-20:00
Location: Amsterdam UMC, Location VUmc, Amstel Auditorium


Registration is free but you must do so in advance through our Meet-up page.
The event will be in English and is open to all.


Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.


We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please send an email to