Degree & Study program
Master in Management of Technology
I am absolutely passionate about using mathematical models and advanced analytics to provide optimal decision making in a number of practical applications. The following topics are just some ideas which would excite me; any variations thereof are all interesting.1) Fresh Produce Supply Chain Management (FSCM): Using reinforcement learning to calibrate temperature in warehouses and retail stores to optimize the balance between cost and product (e.g. vegetables) quality, and hence minimize food loss/waste. Furthermore, using state-of-the-art machine learning techniques to improve demand forecasting and/or harvest planning to reduce food loss even more; 2) Operations Research for Healthcare (ORHC): Using stochastic linear programming to optimize the distribution of expensive, most-in-demand medical equipment (e.g. LINAC) among public hospitals in urban areas to optimize patient support (e.g. maximize number of patients treated in relatively short time); 3) Research for Public Policy: Using state-of-the-art machine learning techniques to predict climate changes from meteorological and satellite image data, and using this as a basis to simulate global refugee movements. Such insights can inform policy makers to be better prepared for large influxes of refugees.