Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
projects
publications
talks
teaching
Project Collective Intelligence
Undergraduate course, VU Amsterdam, 2023
Course objective is to learn the use of simulators to conduct empirical research in the field of collective intelligence and natural and artificial systems.
Green Lab
Graduate course, VU Amsterdam, 2024
Course objective is to understand and measure the impact of software over energy consumption and perform empirical studies on this topic.
Software Design
Undergraduate course, VU Amsterdam, 2024
Course objective is to understand design principles and object-oriented design patterns. Students were expected to implement a project from the given list using the best practices from the industry.
Deep Learning
Graduate course, VU Amsterdam, 2024
I helped coordinate the course “Deep Learning” at VU Amsterdam. The course objective is to introduce graduate students to basic concepts in deep learning, like: backpropagation, optimizers, standard model architectures etc.