About me

Welcome to my homepage. I am a Deep Learning Researcher at Qualcomm AI Research working on source compression.

I'm interested in generative modeling, information theory, and bayesian inference, and I like working on projects that are both practically relevant and theoretically interesting.

I have a master degree in Artificial Intelligence from the University of Amsterdam.

You can find some of my work here, or at:

Recent Work

Find some of my recent reports and repositories below.


2020 Lossy Compression with Distortion Constrained Optimization

Accepted at CVPR CLIC workshop 2020.


2019 Video Compression With Rate-Distortion Autoencoders

Accepted at ICCV 2019.


2019 ASR Personalization by Voice Conversion

Master thesis.


2016 Keras Neural Graph Fingerprint

During an internship at the Keiser lab at the UCSF (University of California, San Francisco) I developed this framework to build various architectures of Graph Convolutional Networks, and run them on GPU.



2013 The effect of alpha stimulation of the visual cortex on visual search efficiency.

Bachelor thesis, investigating the effect of electrical cortical stimulation on visual attention in humans.


2013 Visual Echos of Iconic Memory.

Honours thesis, research proposal. Examining the electrical dynamics behind visual working memory.


2012 Visual stability: Spatiotopic maps or transsaccadic remapping?

Literature analysis about the mechanisms behind consistency in visual perception across eye-movements.

Get in touch


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