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:
Find some of my recent reports and repositories below.
Accepted at CVPR CLIC workshop 2020.
Accepted at ICCV 2019.
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.
Bachelor thesis, investigating the effect of electrical cortical stimulation on visual attention in humans.
Honours thesis, research proposal. Examining the electrical dynamics behind visual working memory.
Literature analysis about the mechanisms behind consistency in visual perception across eye-movements.
Thanks for sending a message. I'll get in touch with you soon!
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