AI Synergies


Nikki Theuwes

Master student, Eindhoven University of Technology

Improvement of ambulance on-time performance 

The works aimed to improve ambulance on-time performance. First, current ambulance dispatch practices in Brabant-Zuidoost were captured using machine learning and a unique postprocessing phase, resulting in a representation that is both concise and more accurate than the policy commonly assumed in literature. Four enhancements to the current policy were proposed and evaluated in a realistic simulation. Results showed improvement of the on-time performance equivalent to over seven additional weekly ambulance shifts. 


Nikki recently graduated cum laude from the Master Operations, Management and Logistics at Eindhoven University of Technology. Her thesis on capturing and improving ambulance dispatch policies was awarded grade 9.5/10 and won the Dow Chemical Master Thesis Award. Currently she is an Associate at Boston Consulting Group. During her studies she co-founded an initiative providing refugees access to academic education.



Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

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