I recently graduated from the Erasmus University Rotterdam obtaining a Master of Science (M.Sc.) degree in Econometrics and Management Science. The master’s track I have undertaken was Operations Research & Quantitative Logistics. For my master’s thesis, I was advised by Michel van de Velden. For the related research, I visited Berkeley Artificial Intelligence Research lab (BAIR), where I was advised by Pieter Abbeel. I have a Bachelor of Science (B.Sc.) degree in Industrial and Applied Mathematics from Delft University of Technology. For my bachelor’s thesis, I was advised by both Marco Loog and Frank van der Meulen.
See my full resume for more details.
Working with Thomas Bird and David Barber from UCL on more memory efficient deep generative models.
Working with a large group of students to migrate merchant information from sheer documents into a data-driven system.
Did research at the junction of deep unsupervised learning and information theory, advised by Pieter Abbeel and Jonathan Ho. Designed a novel compression algorithm called “Bit-Swap” that uses a recursive extension of bits-back coding to exploit hierarchical VAE’s. This method is able to outperform many established lossless compression techniques on images.
Responsible for designing, maintaining and (on request) modifying construction process management systems (part of BIM) for various contractors. Advising contractors about project management in Relatics and designing automatic reports. Advanced skills in the online software Relatics.