In an age of ever-invasive AI I’m interested in tools to secure and maintain personal freedoms such as privacy and the right to anonymity while improving the intelligence of machines and increasing access to the powerful advances of neural networks to as many people as possible, in particular the most disenfranchised communities.

I’m particularly interested in the fields of federated learning, homomorphic encryption especially for running machine learning algorithms on low resource environments such as web browsers and mobile devices.

Some of my ongoing projects and experiments include building a peer-to-peer offline networking library, implementing a Blockchain cryptocurrency from the Bitcoin specs and creating a recommendation engine that can be trained and run on a browser (web assembly).